Associate Director, Computational Sciences — Biotherapeutics Portfolio Group Lead
About The Position
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.
Requirements
- Bachelor's degree with 12+ years of academic/industry experience, OR Master's with 10+ years, OR PhD with 8+ years.
- 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.
Nice To Haves
- 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.
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.
Benefits
- wellbeing support
- retirement and financial protection benefits
- insurance offerings (medical, dental, vision, life and disability)
- Flexible Time Off (FTO)
- 11 paid company holidays each year
- 160 hours of paid vacation annually for new hires
- 3 optional holidays
- paid sick leave
- up to two paid volunteer days per year
- summer hours flexibility
- leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs
- annual Global Shutdown between Christmas Day and New Year's Day
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What This Job Offers
Job Type
Full-time
Career Level
Director
