AI-Driven Oncology Target Discovery Lead

Bristol-Myers Squibb; Cambridge (MA); On-site; USD 166,770 - 202,086; Full time

Benefits offered by this job

Flexible time off

Health coverage

401(k) plan

Job summary

Bristol-Myers Squibb in Cambridge is looking for a Principal Scientist in AI-Driven Oncology Target Discovery. This role involves driving integrative data analyses and developing advanced analytical platforms that enhance decision-making in oncology.

The candidate will lead projects to identify therapeutic targets using novel machine learning techniques and multimodal data. A Ph.D. in a relevant quantitative field and a strong background in computational biology are required.

Qualifications

• 8+ years of academic/industry experience or PhD with 4+ years.
• Deep expertise in machine learning and computational biology.
• Experience with patient-derived datasets and omics.

Responsibilities

• Integrate computational approaches into target discovery workflows.
• Lead design and deployment of AI systems for target identification.
• Analyze patient datasets to uncover disease biology.

Skills

Computational target identification

Machine learning

Collaboration

Leadership

Systems biology

Education

Ph.D. in Computational Biology or related field

Tools

Bioinformatics tools

Agentic AI systems

Job description

Bristol-Myers Squibb in Cambridge is looking for a Principal Scientist in AI-Driven Oncology Target Discovery. This role involves driving integrative data analyses and developing advanced analytical platforms that enhance decision-making in oncology.

The candidate will lead projects to identify therapeutic targets using novel machine learning techniques and multimodal data. A Ph.D. in a relevant quantitative field and a strong background in computational biology are required.