Senior Research Investigator Predictive Sciences Immunology Cardiovascular amp Fibrosis Computational Biology

Profile

Bristol-Myers Squibb is a global Biopharma company committed to a single mission: to discover, develop, and deliver innovative medicines focused on helping millions of patients around the world in disease areas such as oncology, cardiovascular, immunoscience and fibrosis.

Join us and make a difference. We hire the best people and provide them with a work environment that places a premium on diversity, integrity, collaboration and personal development. Through a culture of inclusion, we create a better, more productive work environment. We believe that the diverse experiences and perspectives of all our employees help to drive innovation and transformative business results.

We are seeking a collaborative and innovative scientist to join the Immunology, Cardiovascular, & Fibrosis (ICF) Predictive Sciences group. As part of the ICF Computational Biology team, you would be responsible for helping advance Bristol Myers Squibb's ICF pipeline through the application of machine learning, network analysis, and bioinformatics approaches on large-scale omics data sets from internal, public, and real-world data. 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:

Lead computational biology efforts on multi-disciplinary teams

Develop computational models and tools to enable data-driven target prioritization for new molecular entities

Collaborate with teams of multi-disciplinary scientists to analyze internal and external high-dimensional data sets to advance projects in pre-clinical drug discovery and development

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:

Ph.D. in bioinformatics, computational biology, engineering, statistics, molecular biology, immunology, genetics, or similar with 3 years of experience post-Ph.D.

Demonstrated ability of contributing to and helping advance multi-disciplinary team projects.

Expertise with a high-level programming language such as R or Python for complex data analysis and reproducible research practices.

Mastery in integrating and analyzing diverse high-dimensional, omics data sets relevant for the intersection of immunology, stromal, and tumor biology.

Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.

Scientific curiosity with an ability to identify questions bioinformatics approaches can address, and the skills to develop solutions both independently and collaboratively.

Excellent problem-solving and collaboration skills.

Strong communication, data presentation, and visualization skills.

Background in ICF diseases (e.g. autoimmune diseases, heart failure, NASH) and/or experience working with clinical trial data is a plus.

Bristol-Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees the resources to pursue their goals, both at work and in their personal lives.

Company: Bristol-Myers Squibb

Req Number: R1524624_EN

Updated: 2020-05-24 00:00:00.000 UTC

Location: Princeton,New Jersey

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.

Company info

Bristol-Myers Squibb Company
Website : http://www.bms.com