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Computational Biologist/Bioinformaticist open

Job Title: Computational Biologist/Bioinformaticist 


Two positions for Computational Biologists are now open at the Ragon Institute 

The Walker laboratory and the Pillai laboratory at the Ragon Institute of MGH, MIT & Harvard have openings for highly motivated computational biologists to join a dynamic team of bench scientists and a growing community of computational biologists working together to better understand human immunology. Please contact Shiv Pillai (pillai @helix.mgh.harvard.edu) or Bruce Walker (bwalker@mgh.harvard.edu) if you are interested. The compensation plan will be competitive. 

About the Institute  

Located in the heart of the Kendall Square biotech hub, the Ragon Institute of MGH, MIT & Harvard aims to harness the immune system to prevent and cure human disease. With ten principal investigators and over 100 scientists in total, the institute provides a highly collaborative environment with close ties to neighboring universities, hospitals and industrial partners, which includes the computational resources of Harvard Medical School and the Broad Institute. The laboratory of Institute Director Dr. Bruce Walker MD studies immune mechanisms of spontaneous HIV control to inform the development of an effective HIV vaccine. The laboratory of Dr. Shiv Pillai uses chromatin accessibility and transcriptomic approaches to study lymphocyte fate and lymphocyte memory especially with a view to enhancing the activity of the immune system for purposes of therapy and vaccination The selected individuals will join a growing community of computational biologists at the institute and will have the opportunity to participate in a multitude of interdisciplinary projects. 


Under the direction of the principal investigators and collaborating bench scientists, and with available guidance from Dr. Arup Chakraborty, a Member of the Ragon Institute,  and from our Associate Member, Dr. Nir Yosef, Ph.D. at the UC Berkeley Center for Computational Biology, the selected candidates will develop and implement analytical pipelines for the analysis of high-throughput assay data including single-cell and population RNA-seq, atomic-resolution protein structure data, ATAC-seq data and high-dimensional flow and mass cytometry. Projects in the Walker laboratory are aimed at enhancing our understanding of effective HIV immunity and will primarily include analysis of datasets generated from unique specimens (peripheral blood, lymphoid tissue, etc.) from patients seen at partnering clinics and hospitals. Projects in the Pillai laboratory are aimed at understanding specific human Immune cells that are expanded in patients with autoimmunity and understanding the biology of selected human memory B and T cells. >

The Computational Biologists will develop approaches to research problems and apply the relevant tools to large datasets in order to generate novel biological insights. They will adapt existing software tools and develop new ones as necessary. In addition to communicating methods and results to lab members and collaborators, the selected individuals will be expected to contribute to experiment design and manuscript preparation. Opportunities for intellectual growth, say by developing machine learning algorithms or using network theory etc., with intellectual input from Dr. Arup Chakraborty, Director of the Institute for Medical Engineering and Science at MIT (and a Member of the Ragon Institute) and with Dr. Nir Yosef at U.C Berkeley, are considered important feature of these positions


Minimum Qualifications 

Master's degree or a PhD in computer science, bioinformatics, statistics, biostatistics or related fields. Bachelor's degree holders with 2 or more years of related experience are also welcome to apply.  

Proficiency in R and a scripting language  

Familiarity with high performance computing and computing clusters 

Preferred Qualifications 

Experience with network analysis 

Familiarity with bioinformatic databases, such as the Gene Expression Omnibus, UCSC Genome Browser, and MSigDB; and workflows such as those within Galaxy and GenePattern 

Experience with version control tools (preferably Git) 


Demonstrate integrity, excellence, accountability, and teamwork in all interactions 

Good oral and written communication skills 

Ability to maintain organized, detailed, and up-to-date documentation for all code written for analysis 

Strong interest in human immunology and infectious disease research 


Application Information The position is open immediately, although the start date is flexible. Please submit a cover letter, CV, and references to both Dr. Bruce Walker at bwalker@mgh.harvard.edu and  Dr. Shiv Pillai at pillai@helix.mgh.harvard.edu All applicants, including those from abroad, must be able to come to Cambridge, MA USA for an interview.

posted 2016.12.16


Bioinformatics Program, Boston University


The laboratory of Daniel Segrè at Boston University is looking for a highly motivated postdoctoral researcher to join an interdisciplinary team studying inter-species interactions in marine microbial communities. The focus of the research will be mathematical and computational modeling of microbial metabolism and multiscale ecosystem dynamics. Direct involvement in data collection and experimental testing is an option as well. The researcher will work with other lab members, and with an international team of collaborators, to understand how interactions at the molecular level end up affecting global community composition and dynamics.  For more information on system biology and microbial ecosystems research in the Segrè lab, see http://segrelab.bu.edu.


Qualifications: Ideal candidates should be specifically interested in microbial ecology, hold a PhD in computational or theoretical biology/ecology, physics, computer science or a related discipline, and have a strong publication record.


Start date: October 2016


How to Apply: Interested candidates should email bioinfo@bu.edu with their CVs, research statements and names of references.

posted 2016.09.27


Department of Biology, Swarthmore College

The Department of Biology invites applications for a tenure-track position at the assistant professor level, beginning Fall 2017. Applicants should have a Ph.D.; post-doctoral experience is desirable. The strongest candidates will demonstrate a commitment to teaching and an active research program that can involve motivated undergraduates from diverse backgrounds. We seek a broadly trained systems biologist whose research and course offerings complement those of other faculty in the department. We invite applicants who use contemporary methodologies, including computational and/or modeling techniques, to study biological systems at the cellular or organismal level. Teaching responsibilities include participation in a team-taught introductory course, a one-semester intermediate level course in systems biology with a laboratory, and an advanced seminar with research projects in the area of the applicant's interest.

Participation in the interdisciplinary Neuroscience program is possible. The College offers competitive start-up packages to support faculty research and teaching, as well as a generous sabbatical policy (http://www.swarthmore.edu/provosts-office/sabbatical-support).

Located in the immediate suburbs of Philadelphia and just 20 miles from Wilmington DE, Swarthmore College is a highly selective liberal arts college whose mission combines academic rigor with social responsibility. Swarthmore has a strong institutional commitment to diversity, and actively seeks and welcomes applications from candidates with exceptional qualifications, particularly those with demonstrable commitments to a more inclusive society and world. Applicants from traditionally underrepresented groups are strongly encouraged to apply. For more information on Faculty Diversity and Excellence at Swarthmore, see http://www.swarthmore.edu/faculty-diversity-excellence/information-candidates-new-faculty.

All application materials should be submitted on Academic Jobs Online
Questions regarding this position should be addressed to the Search Chair at biosearch [at] swarthmore.edu.

posted 2016.09.10

Tier 2 Canada Research Chair Position Tenure-Track Assistant / Associate Professor open

Applications are invited for a full-time tenure-track Assistant/Associate Professor position. The incumbent will be nominated for a Tier 2 Canada Research Chair. The Faculty of Pharmaceutical Sciences at the University British Columbia (UBC) is undergoing a major expansion to meet our ambitious goal of being one of the leading academic centres internationally in the pharmaceutical sciences within the next decade. As part of this ongoing strategic development program, research activity in the Faculty is now clearly focused under four major themes, reflecting areas of existing strength, opportunities for new partnerships and the potential for delivering long-term impact. These are: drug delivery and nanomedicine, genomics and individualized medicine, health outcomes, and pharmacology (molecules to systems), with an emphasis on the application of state-of-the-art concepts and methodologies to address clinically important issues in pharmacotherapy. As part of a vibrant UBC academic health sciences community, the incumbent will have ample opportunities for collaborations with basic and clinical researchers in the Faculty, elsewhere on campus, and at the various research centres and teaching hospitals located throughout the province. The University of British Columbia is one of the top public universities in North America.

Applicants for this position should possess a Ph.D., Pharm.D./Ph.D., M.D./Ph.D., or equivalent research expertise in one of the following priority areas: nanomedicine, genomics and human health (particularly as it relates to pharmacogenomics, toxicogenomics, or chronic diseases), or health outcomes/population health. Relevant postdoctoral research experience, demonstrated research skills, an outstanding publication record, excellent teaching and communication skills, and a strong commitment to professional, graduate, and post-doctoral education are essential. Applications from individuals with a proven track record in conducting translational/clinical research are welcome. Preference will be given to an individual with success as a principal investigator in attracting national and/or international research funding (e.g., CIHR, NIH, UK Research Councils).

Tier 2 Canada Research Chairs are intended for exceptional emerging scholars; i.e., candidates must have been an active researcher in their field for fewer than 10 years at the time of nomination. Applicants who are more than 10 years from having earned their highest degree and had career breaks may have their eligibility for a Tier Chair assessed through the program's Tier 2 justification process. Please consult the Canada Research Chairs website (www.chairs-chaires.gc.ca) for full program information, including further details on eligibility and selection criteria.

The major focus of this position will be the development of a world-class research program supported by extensive extramural funding. Other responsibilities will include educating students in the B.Sc.(Pharm.), Pharm.D., M.Sc./Ph.D., and postdoctoral programs as well as new programs under development. The Faculty of Pharmaceutical Sciences is experiencing unprecedented growth and expansion, and is now located in a new state-of-the-art $150-million, 246,000-square-foot facility on UBC's Vancouver campus underpinned by world-class infrastructure and equipment. The building also houses one of the Faculty's key partners, the Centre for Drug Research and Development (www.cdrd.ca), and is within easy reach of other major health science faculties, core research facilities, and major clinical centres.

Salary is negotiable, commensurate with experience and subject to final budgetary approval. The closing date for applications is September 15, 2016. Preferred start date is April 1, 2017 or earlier. Interested 2 individuals are requested to submit a letter of application, curriculum vitae, statement of teaching philosophy, statement of research goals for the next five years, up to five publications, and the names and contact information of five referees to:

Chair, CRC Search Committee
Faculty of Pharmaceutical Sciences
The University of British Columbia
2405 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada
Faculty Website: http://www.pharmsci.ubc.ca/

Please submit electronic applications through the UBC Careers Website:

UBC hires on the basis of merit and is committed to employment equity. All qualified persons are encouraged to apply. We especially welcome applications from visible minority groups, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to engage productively with diverse communities.

posted 2016.09.02

PhD candidate Quantitative Systems Pharmacology of Antibiotics open

The Faculty of Science and the Leiden Academic Centre for Drug Research are looking for a:

PhD candidate Quantitative Systems Pharmacology of Antibiotics (1.0 fte) 
Vacancy number: 16-253

Key responsibilities

With the rise of antibiotic resistance, development of novel treatment strategies for bacterial infections is becoming increasingly important. This project aims to develop novel pharmacometric and computational systems pharmacology models to inform the selection of optimal antibiotic treatment strategies, with a focus on antibiotic efficacy and resistance development. For this purpose, clinical pharmacokinetic and biomarker data from patients, and experimental data characterizing antibiotic effiacy and resistance, will be analyzed. Potentially, the work will include some experimental work to support the development of the computational models. The project will be performed at the Division of Pharmacology, at the Leiden Academic Centre for Drug Research, Netherlands. There is a possibility of working at a research institute in New York, United States in the first year.

Selection Criteria

  • Highly motivated researcher with an interest in drug research;
  • Degree in (bio-) pharmaceutical, biomedical or bioengineering sciences, or comparable training;
  • Strong affinity with quantitative approaches (i.e. modeling and simulation, data analysis, programming, biostatistics) is essential;
  • Experience with dynamical modeling in computational biology or pharmacology is desirable;
  • Basic experience with cell culture and cell biology techniques is an advantage;
  • Able work and communicate effectively in a multidisciplinary team;
  • Willingness to spend 6 to 9 months in the United States in the period between December 2016-November 2017 is a plus.

Research at our faculty

Our Faculty's expertise spans the entire spectrum of science, ranging from Mathematics and Statistical science, Computer science and Data science, Astronomy, Physics, Chemistry and Pharmaceutical science to Biology and Environmental sciences. We are committed to provide meaningful, rigorous and quality academic experiences in an personalized environment with a cutting edge research infrastructure. Students can expand their academic horizons while deepening their expertise and knowledge in an array of disciplines. Our faculty members are inspired by a fascination with the unknown and the urge to enlarge our fundamental knowledge. At the same time they want to contribute to solutions for the big societal issues of tomorrow. 
For more information, see http://www.science.leidenuniv.nl. andhttp://workingat.leiden.edu/
For information on the Leiden Academic Centre for Drug research, please seehttp://www.lacdr.nl/.

Terms and conditions

We offer a full-time one year term position with the possibility of renewal based on need, funding and performance. Salary range from € 2.191,- to € 2.801,- gross per month (pay scale P, in accordance with the Collective Labour Agreement for Dutch Universities).

Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses(8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break.

All our PhD students are embedded in the Leiden University Graduate School of Sciencewww.graduateschools.leidenuniv.nl. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school.


Leiden University is strongly committed to diversity within its community and especially welcomes applications from members of underrepresented groups.


Enquiries can be made to Coen van Hasselt, email coen.vanhasselt@lacdr.leidenuniv.nl, or Piet van der Graaf, email p.vandergraaf@lacdr.leidenuniv.nl. If you have any questions about the procedure, please contact Mrs. M. Hofman, secretary Pharmacology Department LACDR, telephone: +31 71 527 6211.


To apply for this vacancy, please send an email to Mrs. M. Hofman,m.hofman@lacdr.leidenuniv.nl. Please ensure that you upload the following additional documents quoting the vacancy number 16-253: 
• A letter with your motivation for this position; 
• Curriculum Vitae; 
• Name and contact information of 3 references. 

Only applications received no later than September 11, 2016 can be considered.

posted 2016.08.17

Research Assistant or/and PhD Student position in Computational Systems Biology open


The Lobo Lab (http://lobolab.umbc.edu) has an NSF-funded opening for a Research Assistant and/or PhD student in the fields of Computational Biology and Systems Biology. The project involves the development of new computational systems and methods to automatically reverse-engineer quantitative dynamic models from experimental data, produce testable hypothesis, and find the best next set of novel experiments to test at the bench. The global vision of the lab is to understand, control, and design the dynamic regulatory mechanisms that direct complex biological processes. We seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology. 


BS degree in Computer Science, Computational Biology, or equivalent is required.

Knowledge or experience with C++, computer simulation, high performance computing, and Windows/Linux/Mac multi-platform development are desirable.

Biological, mathematical, artificial intelligence, or databases knowledge or research experience are a plus. 

How to Apply

To apply, please send an email to lobo (at) umbc.edu with your CV or resume and a statement outlining how your experience and interests fit with the research done in the lab. Good luck!

About UMBC

UMBC is a dynamic public research university integrating teaching, research and service, and located on 500 acres 15 minutes from Baltimore's Inner Harbor and 45 minutes from Washington, D.C. This year UMBC has again been honored as one of the world's top higher education institutions by both the Center for World University Rankings (CWUR) and Academic Ranking of World Universities (ARWU), which focus on such qualities as faculty research output and major awards. The Chronicle of Higher Education has named UMBC an outstanding academic workplace for the seventh consecutive year. For the fourth consecutive year, UMBC also captured a coveted spot on Times Higher Education's list of top 100 universities around the globe under age 50. This ranking recognizes institutions with strong research, innovation, and an international outlook and, like the U.S. News "Most Innovative" list, is meant to highlight rising, "forward-looking" leaders beyond "the academy's traditional, ancient elite." UMBC continues to lead U.S. News national university rankings for strong commitment to undergraduate teaching, tied with Yale at #6 on the list and ranked ahead of Stanford and Duke. In a new ranking of "Most Innovative Schools," UMBC is #4 in the nation, joining MIT and Stanford in the top five. The rankings reflect results of a poll of presidents, provosts, and admissions officers at other national research universities.

posted 2016.08.16

Postdoctoral Positions in Quantitative Biology at Harvard Medical School open

In January 2017, our quantitative biology lab will start up in the Department of Systems Biology at Harvard Medical School. Applicants are welcome from a broad spectrum of backgrounds ranging from the biological sciences to math / physics / engineering disciplines. The approach of our lab relies on the close coordination and mutual feedback between experimental and theoretical efforts. We are searching both experienced experimentalists, as well as theorists interested in starting to work in the wet lab. While not a prerequisite, experimental experience in either microbiology, fly genetics or molecular cloning will be considered very positively.

We are looking for creative, open-minded individuals, interested in venturing off the beaten track and possessing the determination required for withstanding the ups and downs of doing science and for bringing their ideas to fruition.

The start date of the position is flexible, but there is some preference for the beginning of 2017.

We offer competitive remuneration and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation or any other characteristic protected by law.

Our Research Interests

The complexity and heterogeneity of biological systems are fundamental obstacles that must be overcome for achieving a more quantitative and predictive understanding of physiology and phenotypes on the cellular or organism scale. Such a level of understanding has remained largely elusive in biology, despite the extraordinary level of detail to which molecular interactions have been characterized over the past decades, as it often remains unclear how to harness detailed molecular knowledge to achieve this goal.

In our lab, we try to tackle these challenges by identifying phenotypic patterns that can guide us in decoding the underlying molecular mechanisms and principles, which govern the behavior of complex biological systems. Our approach relies on the close coordination and mutual feedback between experimental and theoretical efforts and we combine careful characterization of physiology, genetic perturbations, omics technology and theoretical models.

Fundamental biological questions that we are interested in include the role of metabolic strategies during growth and adaptation, tradeoffs between competing evolutionary objectives of microorganisms and how cells achieve homeostasis of cell size, cell number and cellular composition, as well as the breakdown of these mechanisms in disease. We use the well-characterized model organisms Escherichia coli and Drosophila melanogaster to address such questions.

Please contact:

Markus Basan, markus @  hms.harvard.edu  

Current address: Institute of Molecular Systems Biology, ETH Zurich

>HPT D 73, Auguste-Piccard-Hof 1, 8093  Zürich, Switzerland, office: +41 44 633 4052

posted 2016.08.01

Postdoctoral Fellow at the Galas laboratory, the Pacific Northwest Research Institute open

Postdoctoral Fellow 
The Galas laboratory at the Pacific Northwest Research Institute (PNRI) is seeking a full-time Postdoctoral Fellow to work on an exciting new research program using new computational methods to discover biological meaning from large, complex data sets. We seek a creative, energetic researcher who wants to extend the frontiers of knowledge as part of a multidisciplinary team of scientists exploring the genetics of complex expression and biological networks. The successful applicant will collaborate on the development and application of computational tools for the analysis of various heterogeneous data sets, in order to generate new biomedical insights relevant to one (or more) of the fields of childhood development, cancer, autoimmune, diabetes or cardiovascular disease. Some recent publications related to this work can be found at: http://www.pnri.org/research-programs/galas- lab/
 • A PhD in bioinformatics, computer science, statistics or a related field 
 • Strong applied mathematics background and scientific programming skills 
 • Prior experience with algorithms and large-scale data analysis 
 • Prior experience in a biological research environment is preferred 
About PNRI: PNRI is an independent, nonprofit, biomedical research institute with a distinguished history of scientific advances to improve health in a variety of disease areas, including diabetes and diabetes-related disorders. PNRI is committed to building a culture that encourages originality, risk-taking, and interdisciplinary collaboration. Please see www.pnri.org for more information. 

How to Apply: 
For immediate consideration, please submit a cover letter and Curriculum vitae at: hr @ pnri.org. NO PHONE CALLS PLEASE.

posted 2016.07.26

Researchers for whole-cell computational modeling open

The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious researchers to develop cutting-edge whole-cell computational models of individual cells, as well as new technologies to enable larger and more accurate whole-cell models. Despite the explosion of experimental data, we do not understand the details of how phenotype arises from genotype and the environment. We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. For example, we believe that whole-cell models could enable bioengineers to design microbial genomes for a variety of industrial applications, as well as enable physicians to tailor medical therapy to individual patients. Our research is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.

We are currently looking for team members in three areas:
  • Human whole-cell modeling. The candidate will develop a whole-cell model of human embryonic stem cells and use the model to gain insights into pluripotency maintenance among other fundamental cell behaviors. This will include aggregating and organizing experimental data, designing submodels, integrating submodels, fitting models, validating models, analyzing simulations, and using models to generate new hypotheses. There are also many opportunities to contribute to the development of new whole-cell modeling methods and tools. The candidate will work closely with our team at Mount Sinai, including our experimental collaborators.
  • Bacterial whole-cell modeling. The candidate will lead the development a whole-cell model of the reduced bacterium Mycoplasma pneumoniae and use the model to design more predictable, faster-growing, and non-virulent strains that could serve as chassis for future bioengineering such as a bacterial-based drug synthesis and delivery system. This includes expanding the scope of whole-cell models; improving the accuracy of whole-cell models; using new types of genomic data to train whole-cell models; systemizing the construction, representation, and simulation of whole-cell models; and developing new methods to use whole-cell models to design genomes. The candidate will work closely with our team at Mount Sinai, as well as our Minicell consortium experimental collaborators: Maria Lluch-Senar and Luis Serrano at the Center for Regulatory Genomics in Spain; Yonaton Arfi, Alain Blanchard, Carole Lartigue, and Pascal Sirand at the National Institute for Agricultural Research in France; and Jörg Stülke at the University of Göttingen in Germany. This project is supported by the NSF and ERASynBio.
  • Whole-cell modeling methods and technology development. To enable larger whole-cell models, including models of human cells, the Postdoctoral Fellow/Engineer will develop new methods for simulating large, multi-algorithmic whole-cell models. This will include developing a new algorithm for concurrently integrating mathematically heterogeneous submodels that share state and implementing this as a high-performance, parallel simulation software system. The Postdoctoral Fellow/Engineer would work closely with our team at Mount Sinai, as well as our parallel simulation collaborators Drs. Peter Barnes and David Jefferson at Lawrence Livermore National Laboratory and our broader international team of collaborators. The Postdoctoral Fellow/Engineer would also have many opportunities to work with our team to build and analyze whole-cell models.

posted 2016.07.12

Seattle Celgene computational biology postdoc fellowship open

Postdoc Fellowship - Computational Biology

Req #: 16000960
Location: SeattleWA US
Job Category: Research and Early Development
Work Location:
Organization: Celgene Corporation
Schedule: Full-time
Shift: Day Job
Employee Status: Limited Term
Job Type: Internship
Job Level: Individual Contributor
Travel: No

posted 2016.06.20

Postdoctoral position in Systems Biology of aging and rejuvenation open

Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden 

Job assignments:
We are now seeking a driven, creative and highly motivated postdoctoral candidate that will contribute to on-going efforts in the lab to develop a novel modeling framework to elucidate the nature of aggregate inheritance on the single cell and whole population level and its role in rejuvenating process. The position is interdisciplinary and combines mathematics and computer science with application in biology and medicine. You will work in a highly collaborative and international research environment and are expected to develop independent ideas, and to communicate research results in oral and written form. 

The position requires outstanding quantitative and analytical skills. We are looking for candidates with PhD-level expertise in computational/systems biology, statistics, mathematics, physics or related fields, who are looking to make an impact in biomedical research. Curiosity to work in interdisciplinary projects and continuously expand your expertise is expected. Experience in large-scale data analysis will be useful, and proficiency in computer programming (e.g. R/Mathematica/Matlab/Perl/Python) is required. An appropriate record of productivity (evidenced e.g. by academic papers or scientific software) is expected. The position requires the ability to independently take responsibility over a scientific project, strong teamwork and communication skills, reliability, attention to detail and effective time management. 
Full time temporary employment. The position is limited to a maximum of two years. 

Application deadline April 25, 2016 

posted 2016.04.04

Postdoctoral Position in Cancer Multiscale Computational Systems Biology open

Postdoctoral Position in Cancer Multiscale Computational Systems Biology
Departments of Biomedical Engineering and Oncology
Johns Hopkins University

•Seeking an independent and motivated Postdoctoral Researcher in Dr. Aleksander Popel's laboratory in the Departments of Biomedical Engineering and Oncology, The Johns Hopkins School of Medicine. 
•The successful candidate will join a team that combines computational and experimental researchers using computational modeling and computational systems biology tools to discover and elucidate mechanisms of tumor angiogenesis and metastasis, immuno-oncology, tumor microenvironment, and perform drug discovery research.
•Specific skills include strong computational modeling of signaling pathways and multiscale modeling from signaling pathways to tumor scales. 
•Applicant must have a doctoral degree with a demonstrated record of innovative scientific accomplishments as evidenced by first-author papers published or accepted in premier journals.
•Qualified candidates must be able to work independently, demonstrate outstanding communication skills, have a strong commitment to science, and work well within a group.
• US citizens, permanent residents or holders of an F1/OPT visa with at least six months of work authorization left.
Johns Hopkins University is an Equal Opportunity Employer with a commitment to diversity. All individuals are encouraged to apply.

How to apply: Email curriculum vitae and names of three references to: Dr. A.S. Popel, Dept. of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205. E-mail apopel @ jhu.edu

posted 2016.03.27

Postdoc position at Department of Biomedical Informatics: Biomedical Data Scientist Postdoctoral Associate open


Imagine a dynamic dataset that encompasses comprehensive information about a patient in the health care system: what diseases they have, their genomic sequence, their social media messages (e.g, tweets and likes), and where they live. How would you--a data hacker--store, retrieve, and analyze this information to drive biomedical discovery to find a new way of predicting disease or even a new therapy for a disease? Chirag Patel's Group at the Department of Biomedical Informatics at Harvard Medical School is looking for a data engineer to build cutting-edge platforms and data infrastructure to enable large-scale data-driven research to address this question. We aim to integrate diverse data sources from geotemporal information (e.g., NOAA Weather Data, EPA AirData), individual genomic sequence, social media data, and health claims information to paint a comprehensive picture of individuals who are sick and healthy.


First, the Biomedical Data Scientist Postdoctoral Associate will aggregate publicly available data sources from numerous sources. The Data Scientist will apply statistical machine learning algorithms for prediction and discovery of clinical, genetic, and environmental factors related to disease.

The diversity of subject matter will require a creative mind and a candidate capable of deploying imaginative strategies and who is dedicated to solving complex and challenging problems within an interdisciplinary environment.


Candidates must have a PhD in computer science, mathematics, physics, biomedical informatics, bioinformatics, computer science, or a related quantitative field.


Preferred qualifications for this position include experience designing large software applications and infrastructure to store, retrieve, and analyze large datasets. Industry experience with R, Python, SQL (Oracle), JavaScript is not required, but awesome. Experience in hacking with cloud technologies (e.g., Amazon, Hadoop) is also awesome. Experience with geographical information systems (GIS), including google maps, ArcGIS would honestly make us cry in joy.


The position is available immediately and can be renewed annually.

How to apply

Email applications including curriculum vitae, summary statement of personal objectives, and the names and email addresses of 2-3 references to Chirag Patel (chirag_patel at hms.harvard.edu).

Harvard Medical School is an Equal Opportunity/Affirmative Action Employer.

Women and minorities are especially encouraged to apply.


posted 2016.02.06