# Principal Scientist, AI-Driven Oncology Target Discovery

Hiring organization: [Bristol Myers Squibb](https://career.thegoodapps.co/organizations/bristol-myers-squibb)

Canonical page: https://career.thegoodapps.co/jobs/d08e1951-3584-4127-a665-435f74b7e3a8

Listed on Bristol Myers Squibb's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Principal
- Location: Cambridge, MA
- Salary: 166770 – 202086 USD per year

## Summary

This role leads the development of machine learning and AI agent systems to identify novel cancer drug targets by integrating genomic, clinical, and real-world patient data. It suits computational scientists with deep expertise in oncology target discovery, functional genomics, and applied AI who can translate complex analyses into actionable insights for cross-functional drug discovery teams.

_Our summary, not Bristol Myers Squibb's wording._

## Skills named

Machine Learning

## Required

- Bachelor's degree with 8+ years of experience, or Master's degree with 6+ years of experience, or PhD with 4+ years of experience
- Expertise in computational target identification approaches including functional genomics and perturbation screens
- Experience developing and deploying applied AI agents or LLM-driven applications
- Systems biology and disease biology grounding in drug discovery

## Nice to have

- PhD in Computational Biology, Systems Biology, Computer Science, Machine Learning, Statistics, or related quantitative field
- Deep expertise with single-cell and spatial omics analysis
- Track record of influencing cross-functional teams in fast-paced environments
- Oncology-specific experience
- Strong publication record in computational biology, machine learning, or bioinformatics

Apply on Bristol Myers Squibb's site: https://bristolmyerssquibb.wd5.myworkdayjobs.com/en-US/BMS/job/Cambridge-Crossing---MA---US/Principal-Scientist--Oncology-Informatics--AI-agents_R1600329