Principal Scientist, Genomics & Multi-Omics Oncology Discovery

Bristol-Myers Squibb Company; Cambridge (MA); On-site; USD 150,000 - 210,000; Full time

Job summary

The Oncology Thematic Research Center at Bristol Myers Squibb's Cambridge site seeks a Principal Scientist to advance multi-omics cancer drug discovery. You will lead genomics and functional genomics projects, applying single-cell RNA-seq and spatial transcriptomics to identify targets and validate mechanisms of action.

You will work in a fast-paced, cross-functional environment across Discovery Biology, Predictive Sciences, and Computational Genomics, contributing to translational research and

Qualifications

• Bachelor’s/Master’s/PhD in Life Sciences with relevant postsecondary experience.
• Academic and/or industry experience totaling at least 4–8 years depending on degree.

Responsibilities

• Conduct full-time laboratory-based research supporting target identification and oncology drug discovery.
• Design, develop, and optimize genomics and functional assays to evaluate candidates and decipher MOA.
• Implement novel genomic assays such as single-cell RNA-seq and spatial transcriptomics.
• Collaborate across Discovery Biology, Predictive Sciences, and Computational Genomics.
• Maintain ELN/LIMS documentation and present findings in reports and publications.
• Train and mentor team members in genomics workflows.

Skills

Communication skills

Collaborative mindset

Education

Bachelor's degree

Master's degree

Ph.D. in Life Sciences

Tools

single-cell RNA-seq

spatial transcriptomics

RNA-seq

WGS

WES

qPCR

dPCR

CRISPR screening

CRISPR genome editing

Job description

The Oncology Thematic Research Center at Bristol Myers Squibb's Cambridge site seeks a Principal Scientist to advance multi-omics cancer drug discovery. You will lead genomics and functional genomics projects, applying single-cell RNA-seq and spatial transcriptomics to identify targets and validate mechanisms of action.

You will work in a fast-paced, cross-functional environment across Discovery Biology, Predictive Sciences, and Computational Genomics, contributing to translational research and