Bristol-Myers Squibb Company

Principal Scientist, Immuno-Oncology Translational Bioinformatics

Location
Princeton, NJ, US
Posted
Aug 31, 2018
Ref
R1508742
Required Education
Doctorate/PHD/MD
Position Type
Full time
We are seeking experienced computational scientists to join our Immuno-Oncology Translational Bioinformatics group. This group of computational scientists is responsible for advancing Bristol-Myers Squibb's industry-leading Immuno-Oncology pipeline through the strategic application of cutting-edge bioinformatics approaches. The scientists in this group analyze real-world health data, design experiments and analyze both pre-clinical and clinical-omics data sets, including RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry in order to nominate novel drug targets, enable patient enrichment strategies, and guide drug development decisions. The group interacts with and influences all aspects of R&D at BMS, from early discovery through late-stage development as a key part of our Translational Medicine group.

Responsibilities
  • Engage clinical development team, biomarker scientists, biostatisticians and others key stakeholders to develop and execute biomarker data analysis strategies for oncology clinical studies
  • Perform analysis of clinical and biomarker datasets (e.g., large-scale omics datasets including RNASeq, exome and whole genome sequencing, single cell sequencing) and derive clinically meaningful interpretations
  • Identify potential biomarkers for patient enrichment strategies and gain mechanistic insights of responses and resistances to I-O treatments
  • Summarize analysis results and report conclusions to BMS decision-making bodies; help communicate conclusions to regulatory agencies and the broad scientific community
  • Evaluate and adapt latest scientific findings and methods into bioinformatics analysis plans
  • Serve as a subject-matter expert and provide bioinformatics guidance in cross functional teams
  • Manage alliances and external collaborations


Qualifications:
  • Ph.D. in bioinformatics, statistics, biological or physical science with 10+ years of industry experience
  • Demonstrated experience working with clinical study data is required; familiar with late stage clinical development process
  • Deep understanding of disease biology in immune-oncology is a strong plus
  • Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies
  • Broad experience with data generated by one or more high-throughput molecular assays: next-generation sequencing, flow cytometry, mass spectrometry proteomics, etc.
  • Strong experience using high-level programming languages such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices
  • Strong problem-solving and collaboration skills, as well as rigorous and creative thinking
  • Excellent communication, data presentation and visualization skills
  • Capable of establishing strong working relationships across the organization
  • Strong publication record


** This role can be based in either our Princeton, NJ, Cambridge, MA, or Redwood City, CA offices.