Associate Director, Computational Sciences — Biotherapeutics Portfolio Group Lead

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

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Summary

We are seeking an experienced and collaborative scientist to lead a computational sciences team that helps biotherapeutic project teams choose antibodies, design and optimize molecules, plan experiments, and advance programs across the oncology, neuroscience, and immunology research portfolio. This role is accountable for ensuring computational work influences live program decisions—including molecule selection, experimental strategy, prioritization, and go/no-go decisions—from binder discovery through candidate nomination. The role balances delivery on active programs with longer-term capability building, translating portfolio needs into computational strategies that improve current decisions and inform future generative design and predictive modeling capabilities. This is a hands‑on scientific leadership role. You will set priorities across competing program needs, develop computational scientists, and focus the team’s work on the highest-impact portfolio questions. Success requires close collaboration, technical judgment, clear communication, and the ability to translate analyses into hypotheses, visualizations, reports, and recommendations that shape project team decisions.

Key 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.

Qualifications & Experience

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 a related field, with relevant 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 through clear expectations, actionable feedback, coaching, and support for technical and professional growth.

Experience validating and calibrating computational models against experimental outcomes, including communicating model confidence and limitations to non‑computational partners.

Strong understanding of discovery biotherapeutics workflows, including antibody selection, design, optimization, experimental design, and the path from binder discovery through candidate nomination.

Ability to operate effectively across disciplines, build trust with project teams, and translate complex computational work into clear, actionable recommendations.

Compensation Overview

Cambridge Crossing: $211,950 - $256,831

Princeton - NJ - US: $184,300 - $223,325

San Diego - CA - US: $202,730 - $245,665

The starting pay range(s) listed above is for full‑time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non‑exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time‑off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.

Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site‑essential, site‑by‑design, field‑based and remote‑by‑design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at [e-mail] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account. R1606010 : Associate Director, Computational Sciences — Biotherapeutics Portfolio Group Lead Data Privacy Link

We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.