Home > Jobs > 2015 > Postdoc, bioinformatician, software engineer 3 positions at Mount Sinai School of Med. NYC, USA

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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