AI-Driven Oncology Target Discovery Lead

Bristol Myers Squibb; Cambridge (MA); On-site; USD 167,000 - 202,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Programs

401(k) and Insurance

Job summary

Bristol Myers Squibb is seeking a Principal Scientist to lead AI-driven oncology target discovery at the Cambridge site. The role focuses on integrating multimodal data, building scalable agentic AI platforms, and guiding portfolio strategy with cross-functional teams of biologists, data scientists, and clinicians.

The ideal candidate has a PhD with a strong publication record and proven ability to deploy ML systems in drug discovery and has a track record of influencing fast-moving teams in

Qualifications

• PhD required in computational biology or related field.
• Experience with AI agents and ML in research or industry.
• Strong publication record and ability to communicate methods.

Responsibilities

• Integrate computational approaches into cross-functional target discovery workflows.
• Design and deploy agentic AI and ML systems for end-to-end workflows.
• Analyze multimodal, patient-derived datasets for target discovery.
• Translate outputs into clear Go/No-Go recommendations.
• Publish scientific reports and present methods and results.

Skills

Computational biology

Machine learning

Data integration

Leadership

Education

PhD in Computational Biology or related field

Systems Biology

Machine Learning

Tools

Agentic AI

LLM platforms

Bioinformatics tools

Job description

Bristol Myers Squibb is seeking a Principal Scientist to lead AI-driven oncology target discovery at the Cambridge site. The role focuses on integrating multimodal data, building scalable agentic AI platforms, and guiding portfolio strategy with cross-functional teams of biologists, data scientists, and clinicians.

The ideal candidate has a PhD with a strong publication record and proven ability to deploy ML systems in drug discovery and has a track record of influencing fast-moving teams in