This Job Vacancy has Expired!

Principal Scientist, Computational Biology

Posted on Apr 6, 2021 by Bristol-Myers Squibb

Princeton, NJ 08540
Research
Immediate Start
Annual Salary
Full-Time


Job Description
At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.


At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.


We are seeking a collaborative and innovative scientist to join the Predictive Sciences group. As part of the Immunology, Cardiovascular, & Fibrosis (ICF) Computational Biology team, you would be responsible for helping advance Bristol Myers Squibb's ICF pipeline through the application of bioinformatics, machine learning, network analysis, and statistics approaches on omics data sets. You would help design experiments and conduct analyses to nominate novel drug targets, enable patient enrichment strategies, and guide pre-clinical drug development decisions. You would communicate with colleagues across the organization and influence R&D at BMS, from target discovery through early-stage development.


Responsibilities:


Collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using internal and external omics datasets
Develop computational models and tools to enable data-driven target prioritization
Drive implementation of predictive models that can illuminate biological mechanisms and enable patient stratification
Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, group, and project meetings)
Qualifications:


PhD in computational biology/bioinformatics, statistics, computer science/math/engineering or a related field with a firm grasp of quantitative methods; or MS with 10+ years relevant experience
5+ years of industry and/or postdoctoral experience
Demonstrated ability of contributing to and helping advance multi-disciplinary team projects
Proficiency with at least one high-level programming language such as R or Python for complex data analysis and reproducible research practices
Experience analyzing high-dimensional molecular datasets such as RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry
Working knowledge of statistical tests and machine learning algorithms and their application to health care datasets
Scientific curiosity with an ability to identify questions bioinformatics approaches can address, and the skills to develop solutions both independently and collaboratively
Strong communication, data presentation, and visualization skills
Background in ICF diseases (eg autoimmune diseases, heart failure, and fibrosis) and/or experience working with clinical trial data is a plus




Reference: 1152693288

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