Senior Research Investigator, Predictive Sciences

Princeton, NJ, United States
Sep 19, 2020
Required Education
Position Type
Full time
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 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.

  • 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)

  • 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.

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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 with the resources to pursue their goals, both at work and in their personal lives.