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2015

TENURE TRACK FACULTY POSITION IN BIOLOGICAL SCIENCES, VANDERBILT UNIVERSITY open

The Department of Biological Sciences at Vanderbilt University, Nashville TN, seeks candidates to fill a tenure-track, assistant professor faculty position in Systems Biology. We desire candidates whose research quantifies, models, predicts and/or tests the dynamics of a biological system at any scale, from molecules and cells to organisms or populations, and that complements existing areas of strength within the department (http://as.vanderbilt.edu/biosci) and the University (e.g., Center for Cancer Systems Biology http://ccsb.vanderbilt.edu/ccsb/; Institute for Integrated Biosystems Research and Education http://www.vanderbilt.edu/viibre/). Candidates must have a Ph.D. and at least two years of postdoctoral experience. The selection criteria are excellence in research and the ability to teach undergraduate and graduate students with a high level of effectiveness. Applicants should upload a single PDF containing a letter of interest, full curriculum vitae, statement of current and future research interests, statement of teaching interests and experience, and also arrange to have three letters of recommendation sent to https://academicjobsonline.org/ajo/jobs/6208. Completed applications must be received no later than November 1, 2015Inquiries may be sent to charles.k.singleton@vanderbilt.edu

Vanderbilt University is committed to recruiting and retaining an academically and culturally diverse community of exceptional faculty. Women, minorities, and members of other underrepresented groups are strongly encouraged to apply. Vanderbilt University is an Affirmative Action/Equal Opportunity employer. 


posted 2015.10.15

Research Scientist or Postdoctoral Researcher for Disease Systems Modeling open

RIKEN Center for Integrative Medical Sciences
(Group Director: Hiroaki Kitano)

Research Field

The general goal of this laboratory is to carry out research on disease system modeling, a range of multi-omics analysis, computational modeling, artificial intelligence research for scientific discovery in biomedical sciences, and to develop computational platform for such studies. We are involved in broad range of research from basic biology to drug discovery in collaboration with other research groups within and outside of RIKEN.

Job Title and Description

Available Positions

Research Scientist or Postdoctoral Researcher
*Candidates with less than five years of postdoctoral experience will be considered for the position of Postdoctoral Researcher.

Job Descriptions

Candidates will be engaged in computational analysis of several diseases based on multi-omics data, develop computational models for understanding of mechanism of action, predicting possible biomarkers and drug targets, as well as developing artificial intelligence and bioinformatics systems for biomedical research. Our current disease areas are atopic dermatitis and immune-related diseases but expansion into other disease areas are also expected in future.

*Research Scientist: Carries out research in accordance with the themes of the laboratory, etc. and provides guidance to postdoctoral researchers and research associates as necessary.
*Postdoctoral Researcher: Carries out research in accordance with the themes of the laboratory, etc., under the mentorship and training of supervisors. Lay the foundations to independently advance their research in the future.

Qualifications

  1. Ph.D. holders (those about to finish a Ph.D. may also apply) in fields related to those stated in the job description above. Applicants with a Ph.D. in other fields with at least some biology and computer science experience and deep interest in the themes of the laboratory are also welcome to apply.
  2. Must have knowledge and experience of the research themes shown in the Job Descriptions section or relevant research fields and a strong interest to pursue the lab's research themes.
  3. Good communication skills and the ability to engage in research in a coordinated manner. Fluency in English is required.
  4. Willingness to take on the challenge of developing new computational methods and technologies and a strong desire to contribute to world-class science.

Work Location

RIKEN Center for Integrative Medical Sciences
1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama-shi, Kanagawa 230-0045 Japan

Salary and Benefits

Terms of contract

Full-time position with an annually renewable contract.
The initial term of the contract shall be until March 31, 2016.
Thereafter, RIKEN may renew the contract annually based on necessity and a performance evaluation and when both parties agree to the conditions.
RIKEN will decide whether to enter into a new contract on the basis of the Employee's abilities, work load, work record, work attitude, progress of the project or projects in which the Employee is involved at the time of termination of the original contract, and on the basis of RIKEN's situation at the time.
A new contract will not be entered into after March 31, 2018.

Salary

Salary is determined annually on the basis of employee experience, abilities and research results. Commuting and housing allowances will be provided and social insurance applies (health insurance, pension insurance, worker's accident compensation insurance, unemployment insurance, etc.).

Holidays

Saturdays and Sundays, Japanese National Holidays, year-end and New Year (Dec.29-Jan.3), summer holidays and RIKEN Foundation Day (4th Monday in October).

Others

Other provisions are in accordance with RIKEN regulations.
*Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).
*Eligible for an exemption from repayment of category 1 scholarship loans provided by the Japan Student Services Organization before fiscal year 2003, and will be eligible to apply for MEXT Grants-in-Aid for Scientific Research (Kakenhi) and other external funds.

RIKEN is promoting a Gender Equity Program by taking various measures to create a workplace where both men and women are able to give full rein to their talents and abilities.
http://www.riken.go.jp/en/careers/working-at-riken/benefits/

Application and Required Documents; Deadline

Please provide the documents indicated below as PDF files and send them to the email address indicated in [Inquiries / Contact Information].
*Please write "Application Documents; IMS - Disease Systems Modeling - (your desired position)" in the subject line.

Documents to submit

  1. CV, which includes a photograph, current affiliation, job title, date of birth, academic credentials, current address and contact information (telephone number and email address).
    *In the top right-hand corner of the CV, please indicate your desired position (Research Scientist or Postdoctoral Researcher).
  2. List of publications (original papers, reviews, etc.), presentations, etc.
  3. Brief description of previous research and achievements, and future research plans (within two A4-size pages).
  4. Reasons why you apply and your strong points which contribute to research in the lab (within two A4-size pages).
  5. Copies of major publications (up to two; indicate these publications in the publication list).
  6. Recommendation Letter (1): (The desired laboratory, position title and contact information for the recommending person must be included. If it is difficult to obtain a recommendation letter from the current supervisor, a recommendation from a third party will be accepted.) The letter of recommendation should be addressed to the "Director of the Center for Integrative Medical Sciences." If the person providing the recommendation will send the letter directly, please send it to the address indicated in Inquiries and Mailing Address for Documents below.
  7. Other than the recommenders above, the name and contact information for one additional reference (name, affiliation, telephone number, email address)
  8. Certificate of graduation, copy of diploma for highest degree (photocopy acceptable) or official letter of impending graduation. (This document can be sent anytime up until the day of final interview.)

Note

Application documents will not be returned.

Deadline

Until the position is filled

Handling Personal Data

Submitted documents are strictly protected under the RIKEN Privacy Policy and will be used only for the purpose of applicant screening. Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without just cause.

Screening Process

Selection will be made based on an application screening and interviews.

Start of Employment

Earliest date possible (negotiable).

Inquiries / Contact Information

Any questions about this position should be sent to the email address given below.
Please write "Laboratory for Disease Systems Modeling, IMS" in the subject line.

For application documents and general questions:
Recruiting staff for RIKEN Center for Integrative Medical Sciences
Administrative Division, RIKEN Yokohama Branch
IMS-recruit[at]riken.jp

For research contents:
Laboratory for Disease Systems Modeling, RIKEN Center for Integrative Medical Sciences
Hiroaki Kitano, Ph.D.
hiroaki.kitano[at]riken.jp

posted 2015.10.08

TENURE TRACK FACULTY POSITION IN BIOLOGICAL SCIENCES, VANDERBILT UNIVERSITY open

The Department of Biological Sciences at Vanderbilt University, Nashville TN, seeks candidates to fill a tenure-track, assistant professor faculty position in Systems Biology. We desire candidates whose research quantifies, models, predicts and/or tests the dynamics of a biological system at any scale, from molecules and cells to organisms or populations, and that complements existing areas of strength within the department (http://as.vanderbilt.edu/biosci) and the University (e.g., Center for Cancer Systems Biology http://ccsb.vanderbilt.edu/ccsb/; Institute for Integrated Biosystems Research and Education http://www.vanderbilt.edu/viibre/). 

Candidates must have a Ph.D. and at least two years of postdoctoral experience. The selection criteria are excellence in research and the ability to teach undergraduate and graduate students with a high level of effectiveness. Applicants should upload a single PDF containing a letter of interest, full curriculum vitae, statement of current and future research interests, statement of teaching interests and experience, and also arrange to have three letters of recommendation sent to https://academicjobsonline.org/ajo/jobs /6208. Completed applications must be received no later than November 1, 2015
Inquiries may be sent to charles.k.singleton @ vanderbilt.edu. 

Vanderbilt University is committed to recruiting and retaining an academically and culturally diverse community of exceptional faculty. Women, minorities, and members of other underrepresented groups are strongly encouraged to apply. Vanderbilt University is an Affirmative Action/Equal Opportunity employer.

posted 2015.09.29

Systems Biologist, Assistant Professor : GEORGIA SOUTHERN UNIVERSITY open

GEORGIA SOUTHERN UNIVERSITY

University System of Georgia
Systems Biologist, Assistant Professor--Search #67329
College of Science and Mathematics, Department of Biology

Georgia Southern University invites nominations and applications for an Assistant Professor of Systems Biology in the Department of Biology in the College of Science and Mathematics. Georgia Southern University is a member institution of the University System of Georgia and a Carnegie Doctoral/Research University devoted to academic distinction in teaching, scholarship, and service. At Georgia Southern we provide a culture of engagement that bridges theory with practice, extends the learning environment beyond the classroom, and promotes student growth and life success.

Accredited by the Commission on Colleges of the Southern Association of Colleges and Schools, Georgia Southern offers more than 100 academic majors in a comprehensive array of baccalaureate degrees and selected master's and doctoral programs. Academic programs are organized within eight colleges:

Business Administration, Education, Health and Human Sciences, the Allen E. Paulson College of Engineering and Information Technology, Liberal Arts and Social Sciences, the Jiann-Ping Hsu College of Public Health, Science and Mathematics, and the Jack N. Averitt College of Graduate Studies.

A residential university with enrollment of more than 20,500 students, Georgia Southern is one of Georgia's premier universities. One of the top choices in Georgia for new freshmen, including HOPE Scholars, Georgia Southern enrolls an increasingly selective student body representing 49 U.S. states and nearly 100 nations. The University continues to enhance its academic profile through higher admission standards, an expanded Honors Program, and scholarships for academically talented students.

Georgia Southern University is committed to advancing the state of Georgia and the region through the benefits of higher education, offering both campus-based and a number of online degree programs. The University fosters access to its educational programs, provides a comprehensive and fulfilling university experience, and enhances quality of life in the region through collaborative relationships supporting education, health care and human services, cultural experiences, scientific and technological advancement, athletics, and regional development.

Our 900-acre park-like campus in Statesboro, Georgia, is not far from historic Savannah and Hilton Head Island and provides the benefits of a major university with the feeling of a much smaller college in a classic Main Street community.

Within this setting, the Department of Biology consists of a diverse faculty of teacher-scholars involved in a wide spectrum of activities from molecular to ecological studies on the coastal plain and throughout the world. The Department provides undergraduate and graduate students with a challenging education that is research-based and technology-oriented. We provide a foundation for life-long learning and appreciation of biological processes and biological diversity through teaching, research and outreach.

Position Description. Reporting to the Chair, the position of Assistant Professor of Systems Biologyrequires research, teaching, and service responsibilities as well as a terminal degree in the Biological Sciences or other relevant field. The successful candidate will develop an externally funded research program on systems biology, and teach both undergraduate and graduate courses. Candidates should have a research interest in understanding biological networks. Research areas may include but not limited to: functional/evolutionary genomics and proteomics/transcriptomics, metabolomic analysis, and bioinformatics. Candidates in the areas of analysis of regulatory, biochemical or signaling networks, and modeling are also welcome to apply. The Department of Biology is housed in 3 buildings, including a new 158,000-square-foot Biological Sciences Building. The position is a 9-month, tenure-track appointment, and the salary is competitive and commensurate with qualifications and experience.

Required Qualifications:
• Ph.D. by 31 December 2015 in the Biological Sciences or other relevant field
• Demonstrated excellence in research in systems biology
• Potential to attract extramural funding
• Expertise to teach a course in the area of systems biology
• Must be authorized to work in the United States for the duration of employment without
assistance from the institution

Preferred Qualifications:
• Post-doctoral experience

Deadline for receipt of applications is October 26, 2015. The preferred position starting date is August 1, 2016. A complete application consists of a letter addressing the qualifications cited above, curriculum vitae, statements of research interests and teaching interests/philosophy, and three letters of reference.

Applications must be sent electronically as a single PDF attachment (include applicant name in filename). Letters of recommendation in PDF format may be sent separately via email. Other documentationmay be requested. Only complete, electronically submitted applications will be considered. Finalists will be required to submit to a background investigation. Applications and nominations should be sent to:

Dr. Quentin Fang, Search Chair, Search #67329
Electronic mail: qfang @ georgiasouthern.edu
Telephone: 912-478-5657

More information about the institution is available through http://www.georgiasouthern.edu or http://www.bio.georgiasouthern.edu. Georgia Southern University seeks to recruit individuals who are committed to working in diverse academic and professional communities and who are committed to excellence in teaching, scholarship, and professional service within the University and beyond. The names of applicants and nominees, vitae, and other non-evaluative information may be subject to public inspection under the Georgia Open Records Act. Georgia Southern University is an Affirmative Action, Equal Opportunity institution. Individuals who need reasonable accommodations under the ADA to participate in the search process should contact the Associate Provost.

posted 2015.09.14

PhD position in Computational Systems Biology (f/m) open

Construction of a biochemical reaction network model to predict the chemical patterns arising from complex processing steps in cocoa Jacobs University Bremen is a private, state-recognized, English-language research university, offering Bachelor, Master or PhD programs in the focus areas Health, Mobility and Diversity. The guiding principles are first class research and teaching, international diversity and transdisciplinary cooperation. Jacobs University's goal is to prepare young talents from all around the world to take on the new challenges in today's globalized workplace. Currently, more than 1,300 students from over 100 nations live and study on the residential campus. 

Subject 
The collaborative project COMETA (COcoa METAbolism) analyzes the precise chemical composition of cocoa beans from various origins. The overarching goal is to develop new rapid quality tests for cocoa classification, processing, and planning requirements for raw material. This project bridges cutting edge research areas, including Microbiology, Analytical Chemistry, and Systems Biology, with direct industrial applications in a unique, highly interdisciplinary framework. The aim of the PhD project is the elucidation of chemical and metabolic reactions of industrial processing steps, such as fermentation and roasting to determine quality indicators for flavor and other relevant chocolate characteristics. Solely considering intermediates of the cocoa metabolism is insufficient as these processing steps are performed under non-physiological conditions, e.g., high temperature. Within this PhD project, a metabolic model of the cocoa bean will be reconstructed and interfaced with chemical databases, in order to predict the chemical scope of the system under diverse conditions. Mapping the identified quality indicators back to the assembled cocoa processing model allows an a priori assessment of the chocolate quality, for instance for a quality test directly on the plantation. 

Tasks and responsibilities 
 Statistical analysis of various high-throughput data sets for predicting quality indicators 
 Development of software tools for data integration and management 
 Identification of processing step-specific chemical and metabolic markers 
 Reconstruction of a processing model including the relevant chemical and metabolic reactions for the quality indicators starting from the identified markers 

Profile 
 MSc degree (or equivalent) in Bioinformatics, Applied Mathematics, Computer Science or a similar field 
 Solid knowledge of biochemistry and molecular biology 
 Strong programming skills including Python and R 
 Experience in mathematical modeling 
 Experience in handling high-throughput data 
 Knowledge of analytical chemistry and structure elucidation would be beneficial 
 Ability to work in an interdisciplinary environment and good communication skills including fluent in spoken and written English 
 Willingness to travel 

What we offer 
We offer an innovative, multidisciplinary, and dynamic research environment with a strong international profile and close connections to industry partners. The PhD position is available for a period of three years. 

How to apply 
Letters of application must be received by August 31st, 2015, for consideration. Interested candidates are encouraged to submit a CV, contact details of two references and a short letter of motivation electronically to: Prof. Dr. Marc-Thorsten Hütt (m.huett@jacobs-university.de) and Dr. Sergio Grimbs (s.grimbs@jacobs-university.de). Please, feel free to contact us for informal inquiries and additional information. For further information about Jacobs University please see www.jacobs-university.de. Jacobs University is an equal opportunity employer.

posted 2015.08.24

Postdoctoral Positions in Systems Biology

The Junior Research Group (JRG), "Emergent Dynamics of Complex Living Systems" led by Dr. Pan-Jun Kim at the Asia Pacific Center for Theoretical Physics (APCTP, http://apctp.org) in Korea, invites applications for postdoctoral positions in the area of computational and systems biology. JRGs at the APCTP are supported by the Korean government and POSTECH.


   The research will focus on the computational study of biological networks of microbial communities inside the human gut. The ideal candidates are expected to have experience/interest in the areas of systems biology, bioinformatics, data analysis, and/or complex networks. Previous experience with nonlinear dynamics, and/or computer simulation would be a plus.


   Screening of applications begins immediately and will continue until the position is filled. Salary will be commensurate with qualifications and experience. To apply, please e-mail curriculum vitae along with a brief statement of your research interests to Pan-Jun Kim at pjkim ATapctp.org, and arrange to have three letters of recommendation e-mailed to the same address.

posted 2015.08.24

Postdoctoral Fellow or Senior Scientist- Integrative genomics open

 Description:

The Mount Sinai School of Medicine in New York City is seeking a talented, self-motivated individual to participate in cutting edge research as a member of the Bunyavanich Lab at the Institute for Genomics and Multiscale Biology.  The Institute is led by Dr. Eric Schadt. The successful applicant will be part of an interdisciplinary team led by Dr. Supinda Bunyavanich that applies computational analysis and bioinformatics to interpret multi-scale data generated from subjects with asthma and allergic diseases.


Responsibilities:

  • Analyze next generation sequencing data, including whole genome, RNA-Seq, 16S rRNA, metagenome, and methylation data.
  • Develop and implement statistical methods and software to analyze next generation sequencing data for genetic risk, disease mechanism, and drug response. Projects will include network construction and mining.
  • Integrate and translate genetic, genomic, eQTL, structural, and clinical data into novel diagnostics, therapeutics and disease mechanisms
  • Maintain complex next generation sequence and array datasets linked to clinical data.
  • Communicate progress with PI regularly and contribute to the success of the research team.
  • Develop and maintain productive collaborations within Mount Sinai and with outside researchers in academia and industry.
  • Publish and present novel research findings in academic journals and conferences
  • Some supervision of trainees and technical staff may also be required.


Requirements:

  • PhD in bioinformatics, computer science, computational biology, genomics, or a related field.
  • Outstanding programming skills in R, Perl, Python, Java, C++, and Unix shell scripting.
  • Excellent track record of analyzing next generation sequencing data. Experience in network analysis a plus.
  • Demonstrated knowledge of statistics, statistical genetics, bioinformatics concepts, methods and tools. Familiarity with genomic data tools, repositories, and databases.
  • Strong attention to detail and solid analytical skills.
  • Ability to work hard and independently while contributing to the team effort and adhering to deadlines.
  • Excellent oral and written communication skills with track record of productive collaborations.
  • Demonstrated ability to work concurrently on several projects, and good understanding of analytic complexities to do independent research as well as assist other researchers.


Interested and qualified candidates should submit a CV and cover letter to Dr. Supinda Bunyavanich (Supinda.Bunyavanich at mssm.edu).

Please visit the Bunyavanich lab for more information on our research group.

The Institute for Genomics and Multiscale Biology at the Icahn School of Medicine at Mount Sinai seeks to comprehensively integrate the digital universe of information into research, training, and patient care and to develop programs that prepare students for careers in the future of healthcare and data science.

posted 2015.08.24

Postdoctoral Fellow or Senior Scientist- Integrative genomics open

Postdoctoral Fellow or Senior Scientist- Integrative genomics

 

Description:

The Mount Sinai School of Medicine in New York City is seeking a talented, self-motivated individual to participate in cutting edge research as a member of the Bunyavanich Lab at the Institute for Genomics and Multiscale Biology.  The Institute is led by Dr. Eric Schadt. The successful applicant will be part of an interdisciplinary team led by Dr. Supinda Bunyavanich that applies computational analysis and bioinformatics to interpret multi-scale data generated from subjects with asthma and allergic diseases.

Responsibilities:

  • Analyze next generation sequencing data, including whole genome, RNA-Seq, 16S rRNA, metagenome, and methylation data.
  • Develop and implement statistical methods and software to analyze next generation sequencing data for genetic risk, disease mechanism, and drug response. Projects will include network construction and mining.
  • Integrate and translate genetic, genomic, eQTL, structural, and clinical data into novel diagnostics, therapeutics and disease mechanisms
  • Maintain complex next generation sequence and array datasets linked to clinical data.
  • Communicate progress with PI regularly and contribute to the success of the research team.
  • Develop and maintain productive collaborations within Mount Sinai and with outside researchers in academia and industry.
  • Publish and present novel research findings in academic journals and conferences
  • Some supervision of trainees and technical staff may also be required.

Requirements:

  • PhD in bioinformatics, computer science, computational biology, genomics, or a related field.
  • Outstanding programming skills in R, Perl, Python, Java, C++, and Unix shell scripting.
  • Excellent track record of analyzing next generation sequencing data. Experience in network analysis a plus.
  • Demonstrated knowledge of statistics, statistical genetics, bioinformatics concepts, methods and tools. Familiarity with genomic data tools, repositories, and databases.
  • Strong attention to detail and solid analytical skills.
  • Ability to work hard and independently while contributing to the team effort and adhering to deadlines.
  • Excellent oral and written communication skills with track record of productive collaborations.
  • Demonstrated ability to work concurrently on several projects, and good understanding of analytic complexities to do independent research as well as assist other researchers.

Interested and qualified candidates should submit a CV and cover letter to Dr. Supinda Bunyavanich (Supinda.Bunyavanich at mssm.edu).

Please visit the Bunyavanich lab for more information on our research group.

The Institute for Genomics and Multiscale Biology at the Icahn School of Medicine at Mount Sinai seeks to comprehensively integrate the digital universe of information into research, training, and patient care and to develop programs that prepare students for careers in the future of healthcare and data science.

 

posted 2015.08.15

Tenure-track faculty position at the Faculty of Health Sciences at the University of Ottawa open

The Faculty of Health Sciences at the University of Ottawa is accepting applications for a tenure-track faculty position at the rank of Associate or Full Professor in the Interdisciplinary School of Health Sciences (ISHS) related to Systems biology-based approaches to health development across the life-span.

The Interdisciplinary School of Health Sciences provides a bilingual, interdisciplinary academic and research environment to study health. The emphasis on biological mechanisms of disease, their interrelationships with psychosocial and environmental factors provides opportunities to explore and mitigate complex health problems. Providing both undergraduate and graduate training, the ISHS is committed to training competent professionals, who wish to contribute in the most efficient way possible to the promotion and improvement of the health and wellbeing of individuals and of populations. Strategic priorities for research include systems biology-based approaches to health development across the life-course and technologies to promote and in support of healthy aging.

The city of Ottawa, located in the National Capital Region, encompasses the two largest cultural and linguistic communities in Canada. The University of Ottawa, situated near many national agencies including Health Canada, the Canadian Institutes of Health Research, the Public Health Agency of Canada and Statistics Canada, is recognized as the first and largest bilingual university in North America. The University provides its 40,000 students and 5,500 employees a dynamic and stimulating environment where research and knowledge are fundamental to all aspects of university life.

The Faculty of Health Sciences is made up of five academic units: Nursing, Nutrition Sciences, Rehabilitation Sciences, Human Kinetics and the Interdisciplinary School of Health Sciences. The Faculty excels in its research endeavour thanks to the efforts of over 100 researchers working in a variety of disciplines, from molecular biology to metabolism, from human kinetics to social sciences of health. This position also offers potential for collaboration with several affiliated hospital and research institutes.
________________________________________
To help consolidate the diverse expertise of its faculty and actively participate in the ongoing development of ISHS, the Faculty of Health Sciences aims to recruit a dynamic health researcher to join our team.

The incumbent's research program should incorporate conceptual frameworks and methods for systems biology across the lifespan, such as the investigation of cellular processes relevant for understanding determinants of health in disease and aging. Preference will be given to applicants whose research focus is on the investigation of biological processes relative to diagnosis, marking, tracking and evolution of disease and /or determinants of healthy aging.

Qualifications for this position should include:
• University professorial experience
• Research experience demonstrated by the achievement of an independent and competitive research program and a significant publication track record

The essential qualities are as follows:
• Leadership and excellence in research and university level teaching and supervision of graduate student and postdoctoral fellows
• Bilingualism: the ability to actively contribute to teaching in one of the two official languages and at minimum, to have passive functionality in the other language.

It is expected that the selected candidates would spearhead and sustain a competitive, externally funded program of research involving graduate students and postdoctoral fellows supervision. There are also expectations for teaching contribution at both the undergraduate and graduate levels with active participation for the development and the enhancement of the teaching curriculae. As a member of the academic staff, contributions to regular administrative processes at the School, Faculty or University level will be expected.

SALARY: Salary is consistent with the collective agreement of the APUO
(http://www.apuo.ca/benefits-resources/salary_info/).

APPOINTMENT DATE: As of January 1, 2016 (negotiable)

Equity is a University policy. We strongly encourage applications from Aboriginal peoples, persons with disabilities and members of visible minorities. All qualified candidates are invited to apply; however, preference will be given to Canadian citizens and permanent residents. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require by contacting the Office of the Associate Vice-President, Faculty Affairs at 613-562-5958. Any information you send us will be handled respectfully and in complete confidence.

APPLICATION DEADLINE: September 25, 2015 (or until the position is filled).

Applicants should send by e-mail a curriculum vitae, copies of no more than three recent article reprints, a letter describing their teaching and research experience, and the names and email addresses of three referees (the search committee will not contact referees until permission has been granted by the candidate) to:

Dr. Jeffrey Jutai, PhD
Director
Interdisciplinary School of Health Sciences
Faculty of Health Sciences
University of Ottawa
25 University, Room 136A
Ottawa, Ontario K1N 6N5
Fax: (613) 562-5632
Email: hss-adj @ uottawa.ca

posted 2015.07.25

Post-doc: Information Processing within Wound Healing Signaling Networks open

Applications are invited for a postdoctoral position in the Wollman Lab (http://wollmanlab.ucsd.edu . The Wollman lab is part of the San Diego Center for Systems Biology, the qBio program, and the Departments of Cell and Developmental Biology and Chemistry and Biochemistry, University of California San Diego. The lab is highly interdisciplinary and combines quantitative microscopy, computational image analysis and mathematical modeling to investigate information processing within mammalian signaling networks.

The project aims at understanding how initial wound response signal transduction networks function in the presence of biological "noise". The following paper is an example of the project:

Accurate information transmission through dynamic biochemical signaling networks. Selimkhanov J, Taylor B, Yao J, Pilko A, Albeck J, Hoffmann A, Tsimring L, Wollman R. Science. 2014

The successful applicant should: 1. Believe that science is fun and exciting. 2. Be fascinated by the ability of signal transduction networks to allow cells to respond to a changing environment. 3. Have a recent PhD degree in cell biology, bioengineering, computational biology, biophysics, or a related field. And 4. Demonstrate expertize in at least a subset of the following: mammalian cell culture, mathematical modeling, microscopy, and computational image analysis.

Self-motivated individuals are encouraged to send their CV, a brief (1-2 paragraphs) statement of interest and contact information of two references to Roy Wollman, rwollman @ ucsd.edu.


--
Roy Wollman, PhD
Assistant Professor
University of California - San Diego
Section for Cellular and Developmental Biology &
Department Chemistry and Biochemistry
Room 3328 NSB, 9500 Gilman Drive
La Jolla, CA 92093-0375
http://wollmanlab.ucsd.edu

posted 2015.07.25

Post-doctoral position: metabolic networks open

http://goo.gl/tHQOqk

The LABGeM team (CEA/Genoscope, CNRS UMR 8030, France) is developing integrated approaches which combines methods and databases for the discovery of new enzymatic activities:

  • The CanOE method, developed in collaboration with INRIA, combines genomic and metabolic contexts for the discovery of candidate genes for orphan enzymes (Smith et al., 2012).
  • A new representation of metabolism extends the notion of metabolic context to detect conserved reaction modules using networks of chemical transformations (Sorokina et al., in revision).

  • From a structural point of view, the ASMC method finds and compares catalytic pockets for the classification of enzymes within a family and detect key amino acids responsible for the substrate specificity (de Melo-Minardi and Bastard et al., 2010).
These methods were successfully applied in the study of protein families of unknown function to reveal their diversity of enzymatic functions (Bastard et al., 2014). An exhaustive analysis of orphan enzymes was also recently conducted (Sorokina et al., 2014). This work is supported by genomic and metabolic network data from MicroScope, an integrated platform dedicated to microbial genome analyses (Vallenet Within this framework, we are hiring a post-doctoral fellow for the development of innovative methods to explore metabolic networks and enzyme families. These methods will be based on data mining and graph approaches combining genomic and metabolic contexts. Applications will be conducted through the discovery of novel enzymes for the valorization of algal biomass (Blue Enzymes project, http://www.anr.fr/?Project=ANR-14-CE19-0020).

  • PhD degree in bioinformatics or computational biology
  • Previous experience with network analysis
  • Programming skills (C/C++, Python, Java) and in common biostatistical analyses
  • Team player, innovative and creative thinking, good oral and written communication skills

24 months, Post Doctoral position

Start: from September 2015 or later
Place: CEA, Genoscope UMR8030, LABGeM (Laboratory of Bioinformatics Analyses for
Genomics and Metabolism), Evry, France
Contact: David Vallenet, vallenet@genoscope.cns.fr
Publications: https://scholar.google.com/citations?user=rJNPLSAAAAAJ
Remuneration per month: from 2,850 €

Interested candidates should send their CV, statement of research interests, and contact information of at least 2 references to David Vallenet (vallenet @ genoscope.cns.fr).

posted 2015.07.15

Postdoctoral Position in Computational Systems Biology at the University of Lille, France open

Topic: "Computational modeling of stress response in normal and cancer cells."

Our team combines experimental and computational modeling techniques to study the response of mammalian cells to various stresses such as oxidative, thermal and metabolic stresses. The goal of this project is to characterize the main differences between non-cancerous and cancerous cells in their sensitivity (survival/death rates) to stress signals, with the long-term objective to develop novel anti-cancer therapeutic strategies. The fact that cancer cells typically show aberrant metabolism and proliferation and our experimental ability to induce various types, intensities and durations of stresses motivate the study of several related issue! s: What are the relevant timescales involved in stress responses? Are there non-trivial effects in combining stress signals? How do normal or cancer cells coordinate stress response, metabolism and cell cycle?

The postdoctoral position is dedicated to working on the computational modeling side of this stress response project. Models will be useful to provide both quantitative and qualitative insights into the dynamics of stress-response factors and of cell fate decisions under various stress conditions. Modeling work will mainly consist in (i) identifying the known cellular pathways involved in stress-specific responses, (ii) translating these signaling, regulatory and metabolic networks into ordinary differential equation models, (iii) simulating and analyzing the model behavior under various settings, and (iv) comparing with experimental data.

Candidate profile
The candidate should have: (i) a strong back! ground in physics or applied mathematics, especially computational and theoretical skills in working with systems of differential equations; (ii) basic notions of cell biology and biophysics gained from previous research experience; (iii) ability to work within a team environment.

Position and application details
The position is for one year renewable, and would start between October 2015 and January 2016. Net annual salary is about 28000€ and includes a benefits package (health insurance, retirement and unemployment benefits). The laboratory (http://www.phlam.univ-lille1.fr/) is located on the Villeneuve d'Ascq campus of the University of Lille. Lille is a lively city connected by highspeed train to Brussel (30mn), Paris (1h) and London (1h30). Applicants should send a letter of motivation, a CV including a complete list of publication and at least 2 letters of recommendation to: quenti n.thommen @ univ-lille1.fr and Benjamin.pfeuty @ univ-lille1.fr

For more informations: http://www.phlam.univ-lille1.fr/spip.php?article1066

posted 2015.07.11

Postdoc, bioinformatician, software engineer 3 positions at Mount Sinai School of Med. NYC, USA open

We are a young, well-funded and fast-growing lab. Currently, we are seeking motivated and passionate bioinformatician, software developer, postdoctoral researcher to work on computational systems biology and human diseases modeling. Successful candidates will work in an exciting interdisciplinary environments routinely interacts with our clinic, wet-lab experimental and computational collaborators world-widely.

General Guideline

As we are strong interdisciplinary lab, our research span from heavy-lifting mathematic methods development to real-world disease modeling. We have the following positions open:


Position-1: computational methods development

Candidate is expected to focus on novel method developments . Prospective candidates should have a PhD degree in computer science specialized in machine learning, mathematics, statistics or physics, biophysics. Strong working experiences in supervised, unsupervised and graphical models is highly preferred. Candidate must have strong programming skills in Matlab and/or R. Programming skills in other language, e.g. c++/Java is a plus.

The candidate will be responsible for developing cutting-edge machine learning approaches for systems biology, and is expected to develop software platforms towards real-world human disease network modeling and drug target prediction by working closely with software develop and disease modeling teams.


Position-2: software development

Candidate is expected to focus on software developing. Prospective candidates should have a Master or PhD degree in computer science specialized in software engineering. Candidate must have strong programming skills in c, c++ and Java. Hands-on experiences in machine learning, data mining is appreciated but not required. Experience in parallel computing is a plus.

The candidate will be responsible for implementing cutting-edge machine learning algorithms into industrial level software platforms towards real-world human disease network modeling and drug target prediction by working closely with computational method develop and disease modeling teams.


Position-3: Real-world disease modeling

Candidate is expected to focus on real-world disease modeling. Prospective candidates should have a recent PhD degree in computer science, bioinformatics/computational biology, biostats. Candidate must have strong knowledge in genetics and genomics, and hands-on experience in analyzing multi-level '-omics' data with bioinformatics approaches. Candidate should have a good programming skills in Matlab or R. Programming skills in other language is a plus. The candidate will be responsible for processing and analyzing multi-scale omics data and leverage cutting-edge methods to reconstruct disease models and generate in-silico hypothesis on drug targets. Candidate must be able to work closely with method development, software development teams and wet-lab collaborators.


All positions are well funded with high salary standard.

Contact: Rui Chang, Ph.D.
Assistant Professor
Department of Genetics and Genomic Science
Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai
Mount Sinai School of Medicine, New York
http://www.mssm.edu/profiles/rui-chang

posted 2015.07.02

Software engineer position in computational biology and high-performance/cloud computing

Job Description

An NIH-funded software engineer position is available in the group of Prof. Gaurav Pandey (http://www.mountsinai.org/profiles/gaurav-pandey) at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the implementation of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. These algorithms will be applied to DREAM challenges (http://dreamchallenges.org) with the goal of improving the community's ability to address difficult biomedical problems. The recruited candidate will be responsible for preparing robust implementation of these algorithms in a big data environment, especially large clusters and Hadoop-based system. These implementations will also be incorporated into the Synapse platform (https://www.synapse.org) for real-time deployment in live DREAM challenges. This work will be conducted in close collaboration with IBM Research and Sage Bionetworks.

Our group focuses broadly on developing and applying machine learning methods to build network and predictive models of biological processes from large biomedical data sets. It is a part of the recently formed Icahn Institute of Genomics and Multiscale Biology (http://multiscale.mssm.edu) at the Icahn School of Medicine at Mt Sinai. The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (for biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze large biomedical data sets to build accurate models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer's disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients' bedside, thus placing the institute in a very unique position.

The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.

To Apply

Candidates should have a masters or PhD-level degree in a computationally-oriented field and should have a solid background in programming and computational techniques. He/she should have strong interest in participating in research in big data and computational biology. To apply, send a CV, an experience statement and three reference letters to gaurav.pandey@mssm.edu

posted 2015.06.25

PhD position in Computational Systems Biology open

Jacobs University Bremen is a private, state-recognized, English-language research university, offering Bachelor, Master or PhD programs in the focus areas Health, Mobility and Diversity. The guiding principles are first class research and teaching, international diversity and transdisciplinary cooperation. Jacobs University's goal is to prepare young talents from all around the world to take on the new challenges in today's globalized workplace. Currently, more than 1,300 students from over 100 nations live and study on the residential campus. 

The department of Life Science & Chemistry in the focus area Health at Jacobs University invites applications for a 

PhD position in Computational Systems Biology (f/m) 
(Full-time and limited for three years) 

Construction of a biochemical reaction network model to predict the chemical patterns arising from complex processing steps in cocoa

Subject 
The collaborative project COMETA (COcoa METAbolism) analyzes the precise chemical composition of cocoa beans from various origins. The overarching goal is to develop new rapid quality tests for cocoa classification, processing, and planning requirements for raw material. This project bridges cutting edge research areas, including Microbiology, Analytical Chemistry, and Systems Biology, with direct industrial applications in a unique, highly interdisciplinary framework. 
The aim of the PhD project is the elucidation of chemical and metabolic reactions of industrial processing steps, such as fermentation and roasting to determine quality indicators for flavor and other relevant chocolate characteristics. Solely considering intermediates of the cocoa metabolism is insufficient as these processing steps are performed under non-physiological conditions, e.g., high temperature. Within this PhD project, a metabolic model of the cocoa bean will be reconstructed and interfaced with chemical databases, 
in order to predict the chemical scope of the system under diverse conditions. Mapping the identified quality indicators back to the assembled cocoa processing model allows an a priori assessment of the chocolate quality, for instance for a quality test directly on the plantation. 

Tasks and responsibilities 
 Statistical analysis of various high-throughput data sets for predicting quality indicators 
 Development of software tools for data integration and management 
 Identification of processing step-specific chemical and metabolic markers 
 Reconstruction of a processing model including the relevant chemical and metabolic reactions for the quality indicators starting from the identified markers 

Qualifications 
 MSc degree (or equivalent) in Bioinformatics, Applied Mathematics, Computer Science or a similar field 
 Solid knowledge of biochemistry and molecular biology 
 Strong programming skills including Python and R 
 Experience in mathematical modeling 
 Experience in handling high-throughput data 
 Knowledge of analytical chemistry and structure elucidation would be beneficial 
 Ability to work in an interdisciplinary environment and good communication skills including fluent in spoken and written English 
 Willingness to travel 

What we offer 
We offer an innovative, multidisciplinary, and dynamic research environment with a strong international profile and close connections to industry partners. The PhD position is available for a period of three years. 

How to apply 
Letters of application must be received by August 31st, 2015, for consideration. Interested candidates are encouraged to submit a CV, contact details of two references and a short letter of motivation electronically to: Prof. Dr. Marc-Thorsten Hütt (m.huett@jacobs-university.de) and Dr. Sergio Grimbs (s.grimbs@jacobs-university.de). Please, feel free to contact us for informal inquiries and additional information. 

For further information about Jacobs University please see www.jacobs-university.de

Jacobs University is an equal opportunity employer.

posted 2015.06.25

PhD position in Analytical Chemistry open

Jacobs University Bremen is a private, state-recognized, English-language research university, offering Bachelor, Master or PhD programs in the focus areas Health, Mobility and Diversity. The guiding principles are first class research and teaching, international diversity and transdisciplinary cooperation. Jacobs University's goal is to prepare young talents from all around the world to take on the new challenges in today's globalized workplace. Currently, more than 1,300 students from over 100 nations live and study on the residential campus. 

The department of Life Science & Chemistry in the focus area Health at Jacobs University invites applications for a 

PhD position in Analytical Chemistry (f/m) 
(Full-time and limited for three years) 

Analysis of food processing products in cocoa

Subject 
The collaborative project COMETA (COcoa METAbolism) analyzes the precise chemical composition of cocoa beans from various origins and their chemistry in the various cocoa processing steps. The overarching goal is to develop new rapid quality tests for cocoa classification, processing, and planning requirements for raw materials and processing conditions controlling all aspects of the final product. This project bridges cutting edge research areas, including Microbiology, Analytical Chemistry, and Systems Biology, with direct industrial applications in a unique, highly interdisciplinary framework. 
The aim of the PhD project is the elucidation of chemical mechanisms behind cocoa processing and identification of compounds defining the characteristics of the final products in particular color, processibility, flavor and aroma. 

Tasks and responsibilities 
 Extraction and purification of cocoa samples 
 Chemical analysis by LC-MS of cocoa products 
 Identification and structure elucidation of processing products 
 Identification of processing step-specific chemical and metabolic markers 
 Reconstruction of a processing model including the relevant chemical and metabolic reactions for the quality indicators starting from the identified markers 

Qualifications 
 MSc degree (or equivalent) in chemistry or biochemistry 
 Solid knowledge of mechanistic organic chemistry, analytical methods and biochemistry 
 Strong problem solving skills 
 Creativity 
 Experience in handling high-throughput and highly complex data is an advantage 
 Knowledge of analytical chemistry and structure elucidation 
 Experience with LC-MS instrumentation is an advantage 
 Ability to work in an interdisciplinary environment and good communication skills including fluent in spoken and written English 
 Willingness to travel 

What we offer 
We offer an innovative, multidisciplinary, and dynamic research environment with a strong international profile and close connections to industry partners. The PhD position is available for a period of three years. 

How to apply 
Letters of application must be received by August 31st, 2015, for consideration. Interested candidates are encouraged to submit a CV, contact details of two references and a short letter of motivation electronically to: Prof. Nikolai Kuhnert n.kuhnert @ jacobs-university.de) and Dr. Roy D ́Souza (r.dsouza @ jacobs-university.de). Please, feel free to contact us for informal inquiries and additional information. 

For further information about Jacobs University please see www.jacobs-university.de

Jacobs University is an equal opportunity employer.

posted 2015.06.25

Assistant Lecturer / PhD student The University of Applied Sciences Koblenz open

The University of Applied Sciences Koblenz offers higher and further education and applied research in the areas of Mathematics, Economics, Technology and Engineering as well as Social Sciences and Arts. The 8800 students are taught by 160 professors and 360 staff members at the three campuses in Koblenz, Remagen and Höhr-Grenzhausen.

The Department of Mathematics and Technology at the RheinAhrCampus in Remagen invites applications for the next possible starting date and a fixed term contract of 3 years for the position of an
Assistant Lecturer / PhD student
Pay group up to E13 TV-L, 19.5 hours per week

Tasks:
 Research work in the field of "Statistical Modelling of tumor evolution with applications to optimal therapeutic strategies"

 Teaching support in Mathematics including tuition, marking of exercises, assistance with exams and administrative work.

The successful applicant will be supported in a PhD project under supervision of professors Maik Kschischo and Markus Neuhäuser. A Masters level degree in Mathematics, Statistics or a similar quantitative subject and good English language skills is required. Students finishing their Master's degree in the next few months are also encouraged to apply.

The position requires a deeper understanding of mathematical statistics or machine learning, programming skills (preferably in R) and basic knowledge of cellular and molecular biology. Experience with further programming languages and good German language skills are a plus. Conceptual thinking and strong analytical skills are required for the interdisciplinary collaboration with biomedical scientists.

The University of Applied Sciences Koblenz strives for equal opportunities and supports the combination of job and family. Applications of women are strongly encouraged. Disabled applicants with equal qualifications and skills are preferred.

We are looking forward to your detailed application to be send in on pdf file to dekanat-mut @ hs-koblenz.de by June 30 2015.

posted 2015.06.16

A postdoctoral position in theoretical immunology open

The Icahn School of Medicine at Mount Sinai, New York, NY 10029

A postdoctoral position in theoretical immunology is available September 2015 in the Sealfon Laboratory at the Icahn School of Medicine at Mount Sinai in New York City (Manhattan). The position is funded by NIH/NIAID through a multi-institutional grant "Modeling Early Immunity to Human Influenza Infection ". The aim of the grant is to elucidate the stochastic dynamics of the human innate immune response to Influenza A infection and to understand how various factors including cell-to-cell variability, differences in virus strains, and spatio-temporal dynamics affect the outcome of infection. The position entails the application of deterministic and stochastic models to study the interaction between influenza A viruses and the innate immune system, at the level of cell populations and of single cells. The modeling project is to be done in concert with extensive experimentation. It will benefit from the participation of Professors C. Jayaprakash (Ohio State University), S. Kleinstein (Yale University), and F. Hayot (Icahn School of Medicine at Mount Sinai), and the close collaboration with leading experimental virologists and immunologists from the Department of Microbiology and the Immunology Institute at Mount Sinai with ample opportunities for interactions.

Highly motivated applicants with expertise in theoretical and computational methods applied to biology are particularly encouraged to apply. Expert knowledge of programming in C++ /Fortran, Mathematica and Matlab, and of standard theoretical techniques is a must. Knowledge of immunology is not required, but a willingness and aptitude for learning the needed biological and immunological background is important.

For the results of an earlier grant dealing with similar issues of immune response to influenza A infection, please see the PRiME web site (http://tsb.mssm.edu/primeportal

The appointment is renewable annually for up to five years.

Interested candidates should send by email to Professor Fernand Hayot (Sealfon Laboratory, Icahn School of Medicine at Mount Sinai, fernand.hayot @ mssm.edu) a cover letter stating relevant background, with a curriculum vitae and list of publications attached, and the names and contact information of three referees.

The Mount Sinai Health System, which includes the Icahn School of Medicine at Mount Sinai, is an equal opportunity employer. We promote recognition and respect for individual and cultural differences. Applications from minorities, women, persons with disabilities are strongly encouraged.

posted 2015.06.12

Postdoctoral fellow - University of North Carolina, USA open

We are seeking one or more postdoctoral fellows to develop computational models and/or conduct live cell imaging analysis. The goal of the project is to study the role of noise in cellular signal transduction pathways (via G protein coupled receptors and MAPKs) and cell fate transitions.

This NIH-funded project is a collaborative effort between the labs of Drs. Timothy Elston, Henrik Dohlman and Beverly Errede.

Project details: All intracellular processes are subject to large amounts of molecular-level fluctuations.  In certain contexts, this "noise" may serve as a bet-hedging mechanism to diversify the response of a population of otherwise identical cells, whereas in other contexts noise suppression may be required to properly coordinate response pathways when cells are faced with multiple competing stimuli. The yeast Saccharomyces cerevisiae is the premier model system for studying mechanisms of noise regulation. Planned investigations will combine microfluidic devices and fluorescent imaging to follow single cells in well controlled environments, quantitative image analysis to characterize fluctuations in signaling and gene expression, and stochastic modeling to suggest and test noise regulation mechanisms.

The successful candidate will have a PhD in computational biology, biophysics, physics, applied mathematics, biochemistry, cell biology, or a related field, a proven track record of research productivity, and enjoy participating in interdisciplinary team science.

The University of North Carolina is the oldest public university in the nation, and constently ranked in the top ten for NIH funding. The city of Chapel Hill is a vibrant community with excellent public schools and low cost of living.

Lab websites:

Elston: http://www.med.unc.edu/pharm/elstonlab/index.html

Dohlman: http://www.med.unc.edu/~hdohlman/research.html

Errede: http://www.med.unc.edu/biochem/errede

To apply write directly to Dr. Elston at: timothy_elston @ med.unc.edu

posted 2015.05.29

PhD Positions: Berlin, Germany open

PhD Positions: Berlin, Germany

The Berlin Institute for Medical Systems Biology at the Max-Delbrück Center for Molecular Medicine (MDC) offers an exceptional PhD Exchange Program to support interdisciplinary research projects and international PhD education.

Program:
Our Berlin based PhD Exchange Program is a joint endeavor with the Center for Genomics and Systems Biology at New York University (NYU) and provides a doctoral training program with up to 4 year funded positions plus travel allowances and housing support.

Training is based on our major spectrum of medical systems biology research and technologies. Candidates educated in disciplines such as biochemistry, molecular biology, mathematics, or computational sciences and sharing our interest in gene regulatory networks are strongly encouraged to apply.

Topics: 
 Bioinformatics, Computational Biology and Mathematical Modeling
 Gene Regulation: microRNAs, Epigenetics, Transcription, RNA Biology
 Genomics, Proteomics, Metabolomics, Single Cell Analysis and Imaging 
 Cell Fate Conversion, Neuronal Differentiation, Reprogramming and Signaling, Developmental Biology

Further information here: www.mdc-berlin.de/en/bimsb 

The program is embedded into the research and training activities of the Helmholtz Graduate School Molecular Cell Biology (MDC) and the Department of Biology (NYU). 

Online registration/application is now active. 

Application deadline is July 1st 2015.

To apply, please go to to: www.mdc-berlin.de/application

posted 2015.05.11

A joint PhD program The German-Israeli Helmholtz Research School "Frontiers in Cell Signaling and Gene Regulation" (SignGene) open

The German-Israeli Helmholtz Research School "Frontiers in Cell Signaling and Gene Regulation" (SignGene) is a joint PhD program between Berlin in Germany and Haifa and Jerusalem in Israel. 
Our research focuses on unraveling the mechanisms that govern the development and physiological functions of normal cells with the goal to understand the pathological processes underlying diseases such as cancer. Lively interactions across our network of world-leading scientists and vivid scientific collaborations across borders make SignGene an exceptional international experience for PhD students.

Depending on the affiliation of their primary supervisor, our students have either the MDC, the HU Berlin or the Charité in Berlin as their home institute and are mainly located in Germany, or they live in Israel with the Technion - Israel Institute of Technology in Haifa or the Hebrew University of Jerusalem as their home institute. 
Students carry out their dissertation as tandem projects mentored by a bilateral pair of senior scientists and take part in our regular scientific meetings and networking events.

SignGene offers
• advanced training in the fields of cell signaling and gene regulation in cancer and normal cells, quantitative biology, bioengineering and biophysics
• Exciting research projects and dual mentoring by a pair of collaborating senior scientists from Germany and Israel
• Prolonged exchange visits in a partnering laboratory abroad
• Annual scientific symposia and workshops alternating between Germany and Israel
• Transferable skills courses to support personal career development

For more information, please visit our website at

Application
Interested candidates from all countries who hold or anticipate receiving a Master's degree or equivalent in relevant fields of study are invited to contact the program coordinator at signgene@mdc-berlin.de

or apply directly online via


Deadline: July 1, 2015

posted 2015.05.11

A senior research fellow position in the Bioinformatics and Systems Biology Core open

Systems Biology Center
Division of Intramural Research (DIR)
National Heart, Lung and Blood Institute (NHLBI)
National Institutes of Health (NIH)
Health and Human Services (HHS)

Applicants are invited to apply for a senior research fellow position in the Bioinformatics and Systems Biology Core, Systems Biology Center at the National Heart, Lung, and Blood Institute (NHLBI), the National Institute of Health (NIH) in Bethesda, Maryland.  The core has a vibrant, multidisciplinary team of scientists, and closely collaborates with laboratory and clinical investigators.  It focuses on research, methodology development, education, and applications in areas including but not limited to: integrated analysis and modeling of Big Omics Data such as those generated using the Next-Generation sequencing (NGS) technologies and the proteomics technologies; and multi-scale modeling of emergent spatiotemporal orders in physiological systems.

The position is designated Full-Time Equivalent Employment (FTE). Initial appointment is for one year, renewable for up to 5 years, subject to the 5 Year/8 Year Duration Rule of the length of time spent at NIH in all fellowship capacities, with the opportunity to be promoted to Staff Scientist during the fellowship. Scientists with considerable experience beyond postdoctoral training may be appointed Staff Scientist directly.

Requirements: We expect the position to be filled with a candidate with PhD training in Statistical Genetics, Biostatistics, Bioinformatics, Computational Biology, Computer Science, Mathematical or Physical sciences, or other related quantitative sciences, with >3 years of postdoctoral experience. The ideal candidate would have in-depth understanding with NGS data analysis and the statistical models, and has at least 3 years' postdoctoral experience with large scale sequencing data analysis and bioinformatics. Candidates with knowledge, experience, and keen interest in computer algorithm development, and in data integration and network theory are particularly encouraged to apply. Experience with statistical models and associated software for NGS data is required.Programming skills in major programming languages Python, R, Java, and MatLab are essential. Strong skills in the use of new computer software, critical thinking, problem-solving abilities, and the ability to conduct successfully, with minimal supervision, a pre-established research program are also required. Must be a team player with excellent verbal and written communication skills.

Duties and responsibilities: The primary role of this position is to lead the analysis and modeling of various types of NGS data, to lead core's research of new methods of analyzing and modeling NGS data, and to lead the development and application of NGS data analysis pipeline. Other responsibilities include: participate in wider group endeavors by working with our proteomics data analysis team to integrate the proteomics and sequencing data; develop and implement new methods and computational software for NGS data analysis; Perform statistical analysis, data mining of NGS data, and interpret the output in biological and/or clinical context; Contribute to integration of data across individual experiments in order to answer broader scientific questions; Present and report methods, results and conclusions to a publishable standard; supervise junior fellows.

How to apply: Applicants should submit the following: a summary of past research experience and a brief description of research interests and career goals, CV, and contact information for three references to Wang, Xujing 
xujing.wang @ nih.gov.
Salary is competitive and commensurate with research experience and accomplishments.
Additional information regarding the NHLBI DIR is available at the following website
http://www.nhlbi.nih.gov/research/intramural/

The Intramural Research Program is on the Bethesda campus and offers a wide array of training opportunities for scientists early in their careers. The successful candidate will have access to the cores established and robust bioinformatics infrastructure, as well as resources 
made available through NIH's Center for Information Technology (CIT), the National Center for Biotechnology Information (NCBI) and NISC.

posted 2015.05.11

POSTDOCTORAL POSITIONS IN THEORETICAL BIOPHYSICS open

Department of Health and Human Services
National Institutes of Health
National Heart, Lung and Blood Institute

POSTDOCTORAL POSITIONS IN THEORETICAL BIOPHYSICS

Two postdoctoral positions are available in the Theoretical Cellular Physics Section of Biochemistry and Biophysics Center at the National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD. Applicants should have Ph.D. in theoretical chemistry, theoretical physics, applied mathematics, or engineering. I am looking for highly motivated candidates with theoretical modeling experiences in biophysics. Strong computational skills are desired. Projects would utilize different statistical mechanics techniques to investigate mechanochemical couplings in various cellular processes, including membrane mechanics, cytoskeleton dynamics, and reaction networks. All the projects would be in extensive and close collaborations with experiments. For more information, see: 


Appointment and salary are dependent on experience.  Review of applications will commence 
continue until filled. Applicants should submit, in a PDF file, a letter of interest, curriculum 
vitae, and three letters of reference to:  Dr. Jian Liu at jian.liu@nih.gov

HHS and NIH are Equal Opportunity Employers.  Applications from women, minorities and persons with disabilities are strongly encouraged.

posted 2015.05.11

Center for Modeling Complex Interactions open

Center for Modeling Complex Interactions
The NIH-funded Center for Modeling Complex Interactions (CMCI) at the University of Idaho will create the intellectual, cultural, and physical environment to foster convergence in interdisciplinary biomedical research. The Center will address complex biomedical problems across all levels of biological organization, from biophysical to ecological, beginning with the study of viral co-infection. Co-infection is a common but understudied area of infectious disease.  The focal point of CMCI is the Collaboratorium, a space and a culture for collaborative modeling.  It will bring together faculty from both the empirical and modeling realms with postdoctoral scientists who reside in the Collaboratorium and devote full-time effort to collaborative modeling.  

We currently have openings for four postdocs in the Collaboratorium and two in experimental laboratories: 

1) epidemiological and biostatistical modeling (SP000473P)
2) transcriptomic and proteomic analysis and modeling (SP000470P)
3) deterministic and agent-based modeling (SP000472P)
4) molecular modeling of proteins (SP000471P)
5) pathogenesis of viral coinfection in mice(SP000474P)
6) molecular biology of viral coinfection in flies (SP000475P)

To apply, go to http://apptrkr.com/608868 and search by the posting number following each positon.  Review of applications will begin May 18, 2015. Applications will be accepted until all positions are filled. 

The University of Idaho is an equal opportunity and affirmative action employer. It is the policy of the regents that equal opportunity be afforded in education and employment to qualified persons regardless of race, color, national origin, religion, sex, age, disability, or status as a disabled veteran or Vietnam-era veteran. It is also the policy of the University of Idaho to not discriminate based on sexual orientation.

Contact Center for Modeling Complex Interactions:  cmci@uidaho.edu or http://www.uidaho.edu/sci/cmci
jeid-a0bcf7b8c9a4395d9820e55546ecfc3f

posted 2015.04.29

Postdoctoral Research Associate Position (Probabilistic Algorithms and Software for Biomedical Big Data) open

Summary: 
The Weber Lab in the Center for Biomedical Informatics (CBMI) at Harvard Medical School is seeking a Postdoctoral Research Associate to help develop probabilistic algorithms and software for biomedical "Big Data". Despite all the recent attention to Big Data in both the scientific literature and popular press, it has yet to have the same impact on medicine as it has in other areas, such as finance, retail business, political campaigns, and national security. We believe the key for clinical applications of Big Data is the ability to create a holistic view of a patient's health history by linking disparate data sources, such as electronic health records, administrative claims, genomic data, and data outside the healthcare system, including social media and information about the environment. Because there are legal and ethical concerns about sharing health data, coupled with the fact that there is no universal patient identifier, our approach is to use probabilistic algorithms that can protect patient privacy and scale efficiently while searching for information about patients across datasets with billions of records. 

Responsibilities: 
The Postdoctoral Research Associate will be responsible for developing computer software to link patient records probabilistically across large biomedical datasets. Although traditional linkage variables such as names or zip codes will be available in some datasets, the software must also handle data that contain only genomic sequences, encounter dates, billing codes, or other de-identified information. Scalability, encryption, compression, performance, and accuracy of the probabilistic algorithms are essential components to the software. The Postdoctoral Research Associate will need to evaluate existing programs in this domain to determine if they can be utilized for our application. The patient linkage tool is one part of an open source distributed query tool being built by a team of scientists and software developers. As a member of a research lab, the Postdoctoral Research Associate will gain experience writing scientific papers and presenting at scientific seminars and conferences. 

Additional Details: 
The Weber Lab is funded by NIH and NSF grants to develop algorithms and open source software for analyzing biomedical "Big Data". We created a social networking website for scientists called Profiles RNS (http://profiles.catalyst.harvard.edu) and contributed to a program for querying clinical data about patients called i2b2 (http://www.i2b2.org). Both of these systems are used in dozens of institutions worldwide. In addition to this project on patient linkage, there is a separate project in the Weber Lab to model the scientific workforce in order to understand how new collaborations form and how this influences both the effectiveness of teams and the career trajectories of individual scientists. That project, which is also seeking a Postdoctoral Research Associate, involves probabilistic linkage of large datasets related to the scholarly activities of researchers (e.g., 50 million publications, 4 million patents, 2 million grants). Thus, there will be synergies between the two projects. 

Requirements: 
Candidates must have a PhD or other advanced degree in computer science, biomedical informatics, computational biology, artificial intelligence, biostatics, or a related field. A strong background in collaborative software development, and in particular probabilistic algorithms and/or statistical modeling is required. Experience with large relational databases and/or other Big Data tools such as Hadoop is also important. Software components in the distributed query tool, including the patient linkage module, will be hosted in AWS and communicate using RESTful APIs. Candidates should be highly motivated, creative, and interested in learning new skills. They must enjoy solving complex and challenging problems and being part of a multidisciplinary research team. Excellent written and verbal communication skills are essential. 

Preferences: 
Experience with version control software and project management tools like JIRA are desirable. We primarily use Microsoft SQL Server and write software in C# for .NET; though, this is not a requirement, and other development groups that are part of this project use different programming languages including Java, Python, Perl, and R. Terms: The position is available immediately and can be renewed annually. 

How to apply: 
Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of the best two papers, and the names and email addresses of three references to: Griffin M Weber, MD, PhD, weber @ hms.harvard.edu 
 
Harvard Medical School is an Equal Opportunity/Affirmative Action Employer. Women and minorities are especially encouraged to apply.

posted 2015.04.29

Postdoctoral Research Associate Position (Statistical Modeling of the Scientific Workforce) open

Summary: 
The Weber Lab in the Center for Biomedical Informatics (CBMI) at Harvard Medical School is seeking a Postdoctoral Research Associate to help model the scientific workforce. The scientific workforce is increasingly relying on teams to solve the most critical intellectual and social problems that confront us today. Team collaborations, a growing trend across all disciplines, yield publications with higher intellectual impact than single researchers; and, the careers of young scientists are influenced by relationships with others in the community. We are developing a systems-based approach to studying scientific workforce dynamics that models the mechanisms of how new collaborations form and how these influence both the effectiveness of teams and the career trajectories of individual scientists. 

Responsibilities: 
The Postdoctoral Research Associate will be responsible for developing statistical and computational approaches to linking large sources of data about the scientific workforce (e.g., 50 million publications, 4 million patents, 2 million grants) and analyzing the collaboration networks of scientists. There are opportunities to study a wide range of related topics, such as the role of interdisciplinary teams, international collaborations, and diversity (e.g., gender, race) in science. The Postdoctoral Research Associate will gain experience writing scientific papers and presenting at scientific seminars and conferences. 

Additional Details: 
The Weber Lab is funded by NIH and NSF grants to develop algorithms and open source software for analyzing biomedical "Big Data". We created a social networking website for scientists called Profiles RNS (http://profiles.catalyst.harvard.edu) and contributed to a program for querying clinical data about patients called i2b2 (http://www.i2b2.org). Both of these systems are used in dozens of institutions worldwide. In addition to this project on the scientific workforce, there is a separate project in the Weber Lab developing probabilistic algorithms for linking patient data across biomedical datasets, such as electronic health records, administrative claims, and genomic data. This project is also seeking a Postdoctoral Research Associate. There will be synergies between the two projects since both involve linking and analyzing large datasets. 

Requirements: 
Candidates must have a PhD or other advance degree in statistics, computer science, biomedical informatics, or a related field. A strong background in statistical modeling is required. Some experience programming or working with databases is needed due to the size of the data, though database programmers within the Weber Lab will be available for help and training. Candidates should be highly motivated, creative, and interested in learning new skills. They must enjoy solving complex and challenging problems and being part of a multidisciplinary research team. Excellent written and verbal communication skills are essential. 

Preferences: 
Experience with R statistical software and/or Microsoft SQL Server is desirable. Experience with social network analysis, natural language processing, or data visualization would also be helpful for the project. 

Terms: 
The position is available immediately and can be renewed annually. 

How to apply: 
Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of the best two papers, and the names and email addresses of three references to: Griffin M Weber, MD, PhD, weber @ hms.harvard.edu 

Harvard Medical School is an Equal Opportunity/Affirmative Action Employer. Women and minorities are especially encouraged to apply.

posted 2015.04.29

postdoctoral Research Associate interested in computational analysis of epigenetic mechanisms open

Areas of Interest: Epigenetic Regulation, Cancer, Genomic Analysis, Computational Biology. 

Job Description: A laboratory at the Center for Biomedical Informatics at the Harvard Medical School (HMS) is looking for a postdoctoral Research Associate interested in computational analysis of epigenetic mechanisms disrupted in cancer and other disease tissues. The Research Associate will be responsible for developing and applying statistical and computational methods for integrative analysis of genome-wide epigenetic, transcriptional and proteomic data, aiming to identify specific factors and molecular mechanisms underlying misregulation of the epigenetic states. The projects are being conducted in closecooperation with several experimental laboratories, providing an excellent opportunity for collaborative research. 

Requirements: 
 - Hands-on experience with DNA or RNA sequencing assays 
 - Good understanding of the basic statistical techniques 
 - A strong interest in conducting collaborative research on the topics outlined above 
 - Track record of publications in peer-reviewed journals 
 - PhD degree in Molecular Biology, Computational Biology, or a related discipline. 

How to apply: Please send cover letter, curriculum vitae and contact information for at least two references to Dr. Peter Kharchenko at peter_kharchenko @ hms.harvard.edu. 
Applications will be considered until the position is filled. 
 
Employer: Center for Biomedical Informatics, soon to be Department of Biomedical Informatics, promotes development and application of computational and informatics techniques in collaboration with researchers at HMS and its affiliated institutions. Its core faculty members conduct research at the intersection of biomedicine and information sciences, including bioinformatics, functional genomics, translational medicine, and clinical knowledge management. The center also hosts the Bioinformatics & Integrative Genomics PhD program (sponsored by NHGRI) and the Biomedical Informatics Research Training program (a consortium of informatics laboratories at Harvard and MIT, sponsored by NLM). Harvard Medical School is an Equal Opportunity/Affirmative Action Employer. Women and minorities are especially encouraged to apply.

Harvard Medical School is an Equal Opportunity/Affirmative Action Employer. 
Women and minorities are especially encouraged to apply.

posted 2015.04.29

Post-doctoral level Data Scientist position in machine learning and computational biology open

Job Description

A post-doctoral level NIH-funded data scientist position is available in the group of Prof. Gaurav Pandey (http://www.mountsinai.org/profiles/gaurav-pandey) at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the development of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. These algorithms will be applied to DREAM challenges (http://dreamchallenges.org) with the goal of improving the community's ability to address difficult biomedical problems. Plans have also been made to evaluate and translate the findings from this work in clinical settings. This work will be conducted in close collaboration with IBM Research and Sage Bionetworks.

Our group focuses broadly on developing and applying machine learning methods to build network and predictive models of biological processes from large biomedical data sets. It is a part of the recently formed Icahn Institute of Genomics and Multiscale Biology (http://multiscale.mssm.edu) at the Icahn School of Medicine at Mt Sinai. The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (for biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze large biomedical data sets to build accurate models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer's disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients' bedside, thus placing the institute in a very unique position.

The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.

To Apply

Candidates should have a recent PhD degree in a computer science, computational biology, bioinformatics, systems biology or related field. Strong computational and machine learning expertise are required. Familiarity with large-scale data analysis and biology are a plus. The candidate should have discipline and high motivation to pursue independent research in computational biology. Applicants are also expected to have a solid background in programming and computational techniques. To apply, send a CV, a research statement and three reference letters to gaurav.pandey @ mssm.edu

posted 2015.04.21

Software engineer position in computational biology and high-performance/cloud computing open

Job Description

An NIH-funded software engineer position is available in the group of Prof. Gaurav Pandey (http://www.mountsinai.org/profiles/gaurav-pandey) at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the implementation of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. These algorithms will be applied to DREAM challenges (http://dreamchallenges.org) with the goal of improving the community's ability to address difficult biomedical problems. The recruited candidate will be responsible for preparing robust implementation of these algorithms in a big data environment, especially large clusters and Hadoop-based system. These implementations will also be incorporated into the Synapse platform (https://www.synapse.org) for real-time deployment in live DREAM challenges. This work will be conducted in close collaboration with IBM Research and Sage Bionetworks.

Our group focuses broadly on developing and applying machine learning methods to build network and predictive models of biological processes from large biomedical data sets. It is a part of the recently formed Icahn Institute of Genomics and Multiscale Biology (http://multiscale.mssm.edu) at the Icahn School of Medicine at Mt Sinai. The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (for biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze large biomedical data sets to build accurate models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer's disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients' bedside, thus placing the institute in a very unique position.

The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.

To Apply

Candidates should have a masters or PhD-level degree in a computationally-oriented field and should have a solid background in programming and computational techniques. He/she should have strong interest in participating in research in big data and computational biology. To apply, send a CV, an experience statement and three reference letters to gaurav.pandey @ mssm.edu

posted 2015.04.21

Postdoctoral Positions in Theoretical Microbial Ecology open

Two postdoctoral positions are available in the Klausmeier lab at Michigan State University's Kellogg Biological Station to develop trait-based models for complex microbial communities. We will study the evolution and ecology of syntrophic networks and competition in variable environments, and develop computational tools for trait-based modeling. Experience with ecological and evolutionary modeling, adaptive dynamics, stochastic spatial simulations, bifurcation theory, and Mathematica and background in microbial ecology are beneficial but not required. 

Both positions are for one year initially, renewable for a second year depending on performance and continued funding. Start date is as soon as possible after June 1, 2015. Interested applicants should email a CV, a brief statement of research interests and accomplishments, and the names and contact information of two references to Christopher Klausmeier (klausme1@ msu.edu). Review of applications will begin May 1 and continue until filled.

See <http://preston.kbs.msu.edu> and < http://www.kbs.msu.edu > for more info on the lab and KBS, and email if you have questions. 

Christopher Klausmeier 
Kellogg Biological Station & Department of Plant Biology
Michigan State University
Hickory Corners MI 49060
Phone: (269) 671-4330
Web: http://preston.kbs.msu.edu/
Email: klausme1@ msu.edu

posted 2015.04.10

Postdoctoral Fellow, Senior Scientist, or Biomedical Software Developer in whole-cell modeling open

Description. The Karr lab in the Institute for Genomics & Multiscale Biology at the Mount Sinai School of Medicine is seeking talented, ambitious individuals to develop cutting-edge dynamical models of human and bacterial cells. Despite the explosion of experimental data, we do not comprehensively understand how phenotype arises from genotype. Our approach is to develop computational models which predict how behavior emerges from the molecular level by integrating diverse data into a single model. Our goal is to use models to make medicine more precise and personalized by predicting disease progression and drug responses. We are also using our models to engineer bacteria. Our research is highly interdisciplinary involving computational modeling, software engineering, data visualization and curation. We have close collaborations with several experimental groups to build and test our models. 

Responsibilities. The candidate will be responsible for developing human and bacterial whole-cell models for precision cancer medicine and synthetic biology. This will include expanding the scope of whole-cell models, incorporating new sources of high-throughput genomic data, and improving the accuracy of whole-cell models. The candidate will work closely with experimental cancer collaborators at Mount Sinai, as well as with Luis Serrano's laboratory at the Center for Regulatory Genomics in Barcelona, Spain.

Desired skills/experience. The ideal candidate has the following skills. Applicants with deep experience in related fields are also encouraged to apply. 

  • Deep experience in dynamical and genome-scale modeling, software engineering, data visualization, and databases; 
  • Strong knowledge of biology, physics, mathematics, and computation; 
  • Several years experience in computational systems biology is a plus; 
  • Excellent object-oriented programming skills in Python, MATLAB, and JavaScript; 
  • Ability to learn new skills and concepts; 
  • Excellent oral and written communication skills; and 
  • Abilities to work independently and within a team effort. 
Compensation & Benefits. Compensation will be commensurate with experience and education. All employees are eligible for medical, dental, and health insurance. Subsidized housing is available for postdoctoral fellows. 

How to apply. Please send a cover letter indicating your research and career goals, a CV, and 2-3 letters of reference to Jonathan Karr (kart @ mssm.edu). 

More information. Please visit our website (http://research.mssm.edu/karr/join.html) or contact Jonathan Karr (kart @ mssm.edu).

About the Institute for Genomics & Multiscale Biology. The Institute for Genomics & Multiscale Biology is an interdisciplinary group of scientists and engineers who are passionate about using computation and technology to make medicine more precise and personalized. Our research spans several areas of computational biology and biotechnology including systems biology, genomics, and bio- and medical informatics. Mount Sinai is an internationally recognized leader in clinical and basic science research.

posted 2015.03.20

Systems Biologist, Rochester, MN open

Heal the sick, advance the science, share the knowledge. 

The Center for Individualized Medicine at Mayo Clinic in Rochester, MN, is seeking a Systems Biologist with a focus on Microbial Biology to join the team. The Microbiome Program is accepting applications for a Systems Biologist at or above the Assistant Professor level; preferably an individual with extramural funding. 

Successful candidates will have expertise in computational biology and systems biology with a focus on microbial community dynamics including but not limited to regulatory modeling, metabolic modeling, horizontal gene transfer, and/or host-microbial interactions. Candidates must possess a PhD or MD/PhD in microbiology, physics, mathematics, computer science, engineering, microbiology or related field. The successful candidate will receive initial intramural support and be expected to compete for extramural, peer-reviewed funding. The candidate will benefit from interdisciplinary collaborations with colleagues across all three 

Mayo Clinic sites to utilize the rapidly growing body of genomic, transcriptomic, proteomic and metabolomic data matched with clinical phenotypes to enhance our understanding of and the role of the microbiome in health and human disease. In addition, the candidate will have the opportunity to teach and mentor students from the Mayo Graduate School. Mayo Clinic has been recognized as the best hospital in the nation for 2014-2015 by U.S. News and World Report. We are an integrated, multidisciplinary academic medical center with comprehensive programs in medical education and research that span across three group practice sites. We support a vibrant research enterprise, with programs in clinical, basic and population sciences. In 2014, the institution received over $371 million in extramural research awards, supplemented with over $276 million of institutional support. We offer a highly competitive compensation package with sustained intramural funding, capital equipment funding, technical and computational resources, and exceptional benefits. In addition to traditional laboratory facilities, Mayo Clinic's relevant cores include: a Medical Genome Facility, a Gnotobiotic Facility, a Metabolomics Core, a 50,000 patient Biobank, and Molecular and Microscopic Core Facilities. 

To learn more and apply, please copy and paste this URL into your browser: http://mayocl.in/1O2Ey6x

Applications should include a CV and a statement of research interests. Specific questions related to the posting should be directed to: 
Heidi Nelson, M.D. 
Chair, Department of Surgery 
Search Committee Chair, Center for Individualized Medicine 
Mayo Clinic 
Email: schilbe.jennifer @ mayo.edu 

©2015 Mayo Foundation for Medical Education and Research. Post offer/pre-employment drug screening is required. Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).

posted 2015.03.17

Postdoctoral Position: Systems Biology of G Protein Signaling open

Heterotrimeric G proteins serve as a signaling nexus in a myriad of normal and diseased cell states. Many extracellular signals (e.g. hormones, peptides, cytokines, lights) are perceived by 7-­‐transmembrane receptors, often referred to as G protein coupled receptors (GPCRs), that stimulate the activation state of the cytoplasmic G protein complex. Interestingly, the majority of non-­‐animal cells (protists, fungi, plants, amoeba and many others) bind GTP without the need for a GPCR. This recent discovery opens up new opportunities to find novel mechanisms that regulate G protein signaling. This project tightly integrates experimental investigations with mathematical modeling to discover and characterize novel signaling motifs that regulate pathway activity in the glucose sensing system of Arabidopsis. The project is a continuation of a well-­‐established collaboration between the labs of Drs. Alan Jones and Tim Elston (Fu, et al 2014 Cell 156:1084-­‐1095). The ideal applicant will have experience with deterministic and stochastic modeling methods, and a willingness to learn the experimental techniques needed to test their mathematical models. Interested individuals should contact Tim Elston (timothy_elston @ med.unc.edu) and Alan Jones (alan_jones @ unc.edu). 

Timothy Elston 
Professor of Pharmacology University of North Carolina 
Phone: 919-843-7670 Office: 4092 Genetic Medicine Building

posted 2015.03.11

Director, SBI Australia open

We are seeking a self-motivated, internationally recognized academician in systems biology as Director for SBI Australia; the first international node of The Systems Biology Institute (SBI) of Japan.

SBI Australia is located at Monash University and is an initiative of EMBL Australia. The Institute promotes Australia's capacity and reputation for systems biology through an extensive program of research, training and outreach, and through engagement with Australian and international government, industry and research organisations. The Director will be responsible for providing dynamic leadership and vision in setting the academic direction for SBI Australia and facilitation of its research programs.

The Director will be the lead advocate for research and best practice in systems biology at Monash and throughout Australia especially through the EMBL Australia (www.emblaustralia.org) and Systems Biology Institute(www.sbi.jp) initiatives. 

The Director will establish collaborative links with national and international research organisations in related fields and establish new opportunities for funding of systems biology research and teaching through competitive grants, government funding and philanthropy.
This is an ideal opportunity for someone looking to lead SBI Australia into its next phase of development, capitalising on the existing strong international linkages that have already been created. 

A competitive package commensurate with the skills and experience of the successful applicant will be offered.  
Further information about this position can be obtained from: 
Prof Nadia Rosenthal, Scientific Head, EMBL Australia: Nadia.rosenthal @ emblaustralia.org or 
Prof Hiroaki Kitano, Director, Systems Biology Institute: kitano @ sbi.jp 

Expressions of interest can be sent to: silvio.tiziani @ emblaustralia.org 

Further information regarding this position is available from 

posted 2015.03.09

PostDoc (mathematical systems biology or related field) : Berlin, Germany open

In the context of the collaborative research network „OVERLOAD-PrevOp: „Understanding and preventing the progression of primary osteoarthritis", we are looking for a highly motivated employee for sub-project SPP5 „Integrative mathematical modelling of physiological- and molecular factors of osteoarthritis of the knee". The successful applicant will develop a comprehensive computer model of cartilage homeostasis that will help us to understand and to evaluate the onset and progression of osteoarthritis of the knee (OAK). The successful applicant will collaborate with experimental partners, analyse biochemical data sets and study the interrelation of putative mediators of OAK in the computer model. It is expected that the successful applicant will contribute to both theoretical and application-driven aspects of the project, publish the results in peer-reviewed journals and present them at international conferences.
 
Salary & Terms:
German paygrade TV-L E13 (approx. 47.000€ p.a., depending on experience). The position will be a fixed-term contract for two years with the option to be extended by another two years.
 
Requirements:
• Major in bioinformatics/systems biology, mathematics, (bio-) physics or related field (natural sciences, engineering, computer sciences).
• Expertise in mathematical modelling of biologic systems & solid understanding of the underlying numerics
• Programming skills
• Willingness to engage in interdisciplinary cooperation with practitioners from the biomedical sector
• Very good communication skills in english
 
Desirable Qualifications:
• Expertise in the field of tissue regeneration and/or musculoskeletal diseases
• Experience with the solution of partial differential equations
 
The successful candidate will work in an inspiring and pleasant environment and will receive adequate professional support. We offer a challenging scientific task, a high degree of autonomy and state-of-the-art technical infrastructure. Please send your application under reference number 2015-PrevOp no later than 01.March.15 to: 
Freie Universität Berlin, Fachbereich Mathematik und Informatik, 
Max von Kleist (vkleist @ zedat.fu-berlin.de), Arnimallee 6, 14195 Berlin, Germany

posted 2015.02.18

JSMC 14 Doctoral Researcher Positions available open

A total of 14 JSMC and ILRS research projects are offered within the ongoing JSMC/Ilrs Recruitment Call. We invite young researchers from various scientific backgrounds to apply for the research projects listed below.


Online application deadline : March 13, 2015

posted 2015.02.12

Post doc in Systems Biology at University of Luxembourg open

The University of Luxembourg is a multilingual, international research University. 

The University of Luxembourg invites applications for the following vacancy in the Life Sciences Research Unit of its Faculty of Sciences, Technology and Communication (FSTC) in the Systems Biology Lab. 

Post doc in Systems Biology (M/F) 
  • 3-year contract, 40 hours/week, starting date: 1st May 2015 (or later). 
  • Ref: F1R-LSC-LAB-09SYBI 
  • Employee status 
Research area: 
The research focus is molecular systems biology. In particular, we are interested in the 
  • Predicting individual sensitivity of malignant melanoma to combination therapies by statistical and network modeling on innovative 3D organotypic screening models 
  • Computational analysis of melanoma specific signaling networks (detailed dynamical modeling) 
  • Analysis and integration of patient specific data 
  • Development and testing of fast algorithms for modelling signaling networks, within the Probabilistic Boolean modelling framework 
Your Role 
  • The successful candidate will perform research related to the topics of the Systems Biology Laboratory; possible collaborations e. g. with the Luxembourg Centre of Systems Biomedicine and industrial partners. 
  • Participation in teaching activities: Bachelor in Life Sciences / Master in Integrated Systems Biology / Doctoral School of Molecular and Systems Biomedicine. 
  • Submission of grant proposals and (co-)supervision of Master and PhD students will be encouraged. 
Your Profile 
  • A PhD in Bioinformatics or Computational Systems Biology (or equivalent) 
  • Solid background in Bioinformatics and Systems Biology documented by peer-reviewed publications. 
  • Proficient knowledge in English is mandatory. Knowledge of German and/or French is an advantage. 
We offer 
  • Young team of highly motivated researchers 
  • Modern and well-equipped laboratory 
  • Multidisciplinary international environment 

Further Information 
Applications should contain the following documents: 
  • Motivation letter 
  • Curriculum vitae 
  • List of publications 
  • Copies of diplomas 
  • Names of potential references 

Please apply online by March 5th 2015
The University of Luxembourg is an equal opportunity employer

posted 2015.02.12

A postdoctoral position is available at the Albert Einstein College of Medicine (NYC) open

A postdoctoral position is available at the Albert Einstein College of Medicine (NYC) to study the systems-level dynamics of the vertebrate segmentation clock by using zebrafish as the model organism.
Interested candidates must have a PhD and have a strong record of accomplishment and experience in mathematical modeling and computational biology.
 
We are looking for a colleague who is collegial, highly motivated, and independent.
 
Salary support will be based on research experience and accomplishments.
 
Please send applications, which should include a cover letter detailing your past research accomplishments and future research goals, a full CV (with bibliography) by email to:
 
Ertugrul Ozbudak
Department of Genetics
Albert Einstein College of Medicine
Email: ertugrul.ozbudak @ einstein.yu.edu

posted 2015.02.06

Department of Biochemistry, University of Oxford Postdoctoral Research Associate for Computational Cell Cycle Research open

We are looking for a computational Postdoctoral Research Associate to join an interdisciplinary project - 'Systems-level characterization of mammalian cell cycle transitions'. The goal of the project is to understand the dynamic characteristics of the major cell cycle transitions (G1/S, G2/M, meta/anaphase and mitotic exit) in untransformed human cells by combining mathematical modelling with state of the art live cell imaging and biochemical techniques. This work is supported by a new BBSRC Strategic LoLa award to Bela Novak and Francis Barr (both in Biochemistry, Oxford), Ulrike Gruneberg (Dunn School, Oxford), and Chris Bakal (ICR, London) and Helfrid Hochegger (U. Sussex). We are looking for a highly motivated cell cycle modeller who will be based in Novak's group and will play a central role in the project by interacting with all the experimental groups involved. 

Applicants should possess a PhD in a relevant area, and be familiar with mathematical modelling of biological regulatory networks. The post is funded by BBSRC for 36 months in the first instance. 

Interested candidates should contact Prof Bela Novak (bela.novak @ bioch.ox.ac.uk) with their CV.

posted 2015.01.27

two tenure-track faculty positions in the Interdisciplinary School of Health Sciences (ISHS) open

The Faculty of Health Sciences at the University of Ottawa is accepting applications for two tenure-track faculty positions in the Interdisciplinary School of Health Sciences (ISHS). 

The Interdisciplinary School of Health Sciences provides a bilingual, interdisciplinary academic and research environment to study health. The emphasis on biological mechanisms of disease, their interrelationships with psychosocial and environmental factors provides opportunities to explore and mitigate complex health problems. Providing both undergraduate and graduate training, ISHS is committed to training competent professionals, who wish to contribute in the most efficient way possible to the promotion and improvement of the health and wellbeing of individuals and of populations. 

The city of Ottawa, located in the National Capital Region, encompasses the two largest cultural and linguistic communities in Canada. The University of Ottawa, situated near many national agencies including Health Canada, the Canadian Institutes of Health Research, the Public Health Agency of Canada and Statistics Canada, is recognized as the first and largest bilingual university in North America. The University provides its 40,000 students and 5,500 employees a dynamic and stimulating environment where research and knowledge are fundamental to all aspects of university life. 

The Faculty of Health Sciences is made up of five academic units: Nursing, Nutrition Sciences, Rehabilitation Sciences, Human Kinetics and the Interdisciplinary School of Health Sciences. The Faculty excels in its research endeavour thanks to the efforts of over 100 researchers working in a variety of disciplines, from molecular biology to metabolism, from human kinetics to social sciences of health. 

To help consolidate the diverse expertise of its faculty and actively participate in the ongoing development of ISHS, the Faculty of Health Sciences aims to recruit research professors as follows: 

1. At the rank of Associate or Full Professor: 

Systems biology-based approaches to health development across the life-course 
Research foci may include but are not restricted to critical windows of vulnerability to environmental, psychosocial and biological stressors, early origins of adult-onset diseases and systems biology approach to health changes. 

Qualifications for these positions leading to tenure: 
• PhD in a subject area in the Health Sciences 
• Professorial experience in a recognized university 
• Research experience demonstrated by the achievement of an independent and competitive research program 
 
The essential qualities are as follows:
• Teaching excellence and leadership in research and teamwork 
• Bilingualism: the ability to actively contribute to teaching in one of the two official languages and to have passive functionality in the other language. 

2. At the rank of Assistant Professor: 

Technologies to promote healthy aging 
Research foci may include but are not restricted to technologies as preventative health interventions, technologies to support autonomy and aging in place, and use of technologies prophylactically to mitigate changes in functional decline. 

Qualifications for these positions leading to tenure: 
 • PhD in a subject area in the Health Sciences 
 • Research experience demonstrated by scholarly achievement and the ability to develop and sustain a competitive scale research program. 

The essential qualities are as follows: 
 • Preference will be given to candidates who have experience at the postdoctoral level. 
 • Excellence in teaching and research 
 • Bilingualism: the ability to actively contribute to teaching in one of the two official languages and to have passive functionality in the other language. 

It is expected that the selected candidates would develop a competitive, externally funded program of research, supervise graduate students, contribute to teaching at both the undergraduate and graduate levels, and participate in academic and administrative activities. 

SALARY: Salary is consistent with the collective agreement of the APUO (http://www.apuo.ca/benefits-resources/salary_info/). 

APPOINTMENT DATE: As of July 1, 2015 

Equity is a University policy. We strongly encourage applications Aboriginal peoples, persons with disabilities and members of visible minorities. According to government policy, all qualified candidates are invited to apply; however, preference will be given to Canadian citizens and permanent residents. 

APPLICATION DEADLINE: February 15, 2015. Applicants should send by e-mail a curriculum vitae, copies of no more than three of their latest reprints, a letter describing their teaching and research interests, and the names and email addresses of three referees (the search committee will solicit letters directly from referees, as required) to: 

Jeffrey Jutai, PhD 
Interim Director 
Interdisciplinary School of Health Sciences 
Faculty of Health Sciences 
University of Ottawa 
25 University, Room 136A Ottawa, Ontario K1N 6N5 Fax: (613) 562-5632 
Email: Grad.EISS @ uottawa.ca


posted 2015.01.13