Bristol-Myers Squibb Company

Research Investigator, Late Stage Translational Bioinformatics Oncology

Location
Princeton, NJ, US
Posted
Sep 11, 2018
Ref
R1509517
Required Education
Doctorate/PHD/MD
Position Type
Full time
Bristol-Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases.

One shared journey is moving us forward at Bristol-Myers Squibb. Around the world, we are passionate about making an impact on the lives of patients with serious disease. Empowered to apply our individual talents and ideas so that we can learn and grow together. Driven to make a difference, from innovative research to hands-on community support. 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.

We are seeking an innovative scientist to join our Late Development Oncology team within the Translational Bioinformatics group. This group of computational scientists is responsible for advancing Bristol-Myers Squibb's industry-leading 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.

Summary:

We are seeking an innovative scientist to join our Late Development Oncology team within the Translational Bioinformatics group. This group of computational scientists is responsible for advancing Bristol-Myers Squibb's industry-leading 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:
  • Under the guidance of senior team members, engage late stage clinical development team, biomarker scientist, biostatistician, and others key stakeholders to define and execute biomarker data analysis plan 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 BMS I-O treatments
  • Summarize analysis results and report conclusions to BMS decision-making bodies; help communicating conclusions to regulatory agencies and the broad scientific communities
  • Evaluate and adapt latest scientific findings and methods into bioinformatics analysis plans


Qualifications:
  • Ph.D. in bioinformatics, statistics, biological or physical science with less than 5 years of experiences in biotech or pharmaceutical industries
  • Experiences working with clinical study data is a plus
  • 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 in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices
  • Strong problem-solving and collaboration skills, and rigorous and creative thinking
  • Excellent communication, data presentation, and visualization skills
  • Capable of establishing strong working relationships across the organization