Director, Computational Sciences — Biotherapeutics Portfolio

Bristol-Myers Squibb; Cambridge (MA); On-site; USD 212,000 - 257,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid holidays

Wellbeing support

Retirement and financial protection

Insurance offerings

Global Shutdown

Job summary

Bristol Myers Squibb in Cambridge, MA seeks an experienced, collaborative scientist to lead a computational sciences team that guides antibody design and decision making across oncology, neuroscience, and immunology programs. This hands-on leadership role balances delivering on active projects with building long‑term capabilities.

You will mentor scientists, translate complex analyses into actionable recommendations, and partner with project teams to influence go/no-go decisions from binder

Qualifications

• Bachelor's degree with 12+ years of academic/industry experience, OR Master's with 10+ years, OR PhD with 8+ years.
• Preferred advanced degree in computational biology, computational chemistry, bioengineering, biophysics, machine learning, or related field, with experience applying computational methods to biologics, protein engineering, antibody discovery, or therapeutic discovery programs.
• 4+ years of leadership experience.
• Demonstrated ability to influence project decisions through rigorous analysis, scientific judgment, and clear communication.
• Demonstrated ability to prioritize computational effort across competing program needs, capacity constraints, and decision timelines.
• Experience leading, mentoring, and developing scientists with clear expectations and coaching.
• Experience validating and calibrating computational models against experimental outcomes.

Responsibilities

• Lead a computational sciences portfolio team, setting priorities across multiple biologics programs in BMS’ pre‑clinical pipeline.
• Apply bioinformatics, machine learning, and AI‑enabled design approaches to improve antibody selection, design, optimization, characterization, and experimental decision‑making.
• Define when computational predictions are reliable enough to act on, when they should be qualified, and when additional experimental evidence is needed.
• Partner with project teams to translate scientific questions into computational strategies and clear recommendations from binder discovery through candidate nomination.
• Communicate hypotheses, methods, results, visualizations, and recommendations in decision‑ready formats tailored to project teams, governance forums, and scientific partners.
• Coach, mentor, and develop computational scientists while fostering scientific rigor, urgency, accountability, collaboration, and impact.

Skills

Bioinformatics

Machine Learning

AI-enabled design

Leadership

Biologics

Education

PhD in computational biology

Tools

Python

R

ML frameworks

Job description

Bristol Myers Squibb in Cambridge, MA seeks an experienced, collaborative scientist to lead a computational sciences team that guides antibody design and decision making across oncology, neuroscience, and immunology programs. This hands-on leadership role balances delivering on active projects with building long‑term capabilities.

You will mentor scientists, translate complex analyses into actionable recommendations, and partner with project teams to influence go/no-go decisions from binder