Bristol-Myers Squibb Company

Research Investigator, Translational Bioinformatics, Immunoscience and Small Molecule Immuno-oncolog

Princeton, NJ, United States
Aug 09, 2019
Required Education
Position Type
Full time
We are seeking a highly motivated bioinformatician with industry experience to join our Translational Bioinformatics Immunoscience and Small Molecule Immuno-Oncology team. The successful candidate will help advance Bristol-Myers Squibb's industry leading IMS pipelines through the strategic application of cutting edge bioinformatics approaches. This team interacts with and influences all aspects at BMS from early discovery through development.


Analyze various -omic-scale data 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 prioritize combination therapies.

Integrate and mine large-scale external data sets to further our understanding of autoimmune diseases.

Evaluate and analyze genomics data from clinical trials to understand drug mechanisms and patient response. Extract insights and generate hypotheses to be evaluated in future trials and to inform our discovery pipeline.

Collaborate with bioinformaticians, statisticians, biologists, biomarker leads, and clinicians to design experiments. Define and implement statistical/computational analysis plans.


Ph.D. in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline.

Five (5) or more years relevant experience in drug discovery research in a pharma or biotech setting.

Proven track record of independent research under minimal supervision.

Experience designing complex experiments and statistical analysis plans.

Strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis and biological interpretation.

Working knowledge of commercial and publicly available biological databases including NCBI, Ensembl, ArrayExpress/GEO and SRA is expected.

Experience working with data from clinical trials.

Solid background in Immunoscience biology.

Ability to communicate effectively with biologists, biostatisticians and computational scientists.

Experience working with Linux high performance compute clusters and cloud based computing platforms.

Proficiency using R and Bioconductor packages is preferred.