Bristol-Myers Squibb Company

Senior Research Investigator, Late Stage Translational Bioinformatics Oncology

Location
Princeton, NJ, US
Posted
Oct 07, 2018
Ref
R1504453
Required Education
Doctorate/PHD/MD
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 the value 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.

Responsibilities:

• Engage late stage clinical development teams, biomarker scientists, biostatisticians and others key stakeholders to define and execute biomarker data analysis plans 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

Qualifications:

• Ph.D. in bioinformatics, statistics, biological or physical science with 5+ 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 immuno-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