SummaryWe 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.
#LI-Hybrid
We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.
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 WorkWhere 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.
