Bristol-Myers Squibb Company

Principal Scientist, Late Stage Translational Bioinformatics Oncology

Princeton, NJ, US
Jan 19, 2019
Required Education
Position Type
Full time
We are seeking a talented and motivated bioinformatics scientist to join our Late Stage Translational Bioinformatics Oncology team within the Translational Bioinformatics group at Bristol-Myers Squibb (BMS). This team is responsible for applying cutting-edge bioinformatics, statistics, and data-mining methods; working with clinical and large-scale omics data sets from BMS's industry-leading late stage oncology/immuno-oncology (I-O) pipeline; influencing development strategies and maximizing values of BMS's portfolio. This team of bioinformatics scientists also has the exciting opportunity to make major contributions to the scientific knowledge of cancer biology and to the improvement of treatment for cancer patients.

  • Engage late stage clinical development team, biomarker scientists, biostatisticians and others key stakeholders to develop and execute biomarker data analysis strategies for late stage 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

  • 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