Associate Director, Computational Sciences — Biotherapeutics Portfolio Group Lead

Responsibilities

• Lead a computational sciences portfolio team across multiple biologics programs in the pre-clinical pipeline.
• Apply bioinformatics, machine learning, and AI-enabled design to improve antibody selection, design, optimization, characterization, and experimental decision-making.
• Determine when computational predictions are actionable vs qualified vs requiring additional experimental evidence.
• Partner with project teams to translate scientific questions into computational strategies and decision-ready recommendations (from binder discovery through candidate nomination).
• Communicate hypotheses, methods, results, visualizations, and recommendations in tailored, governance-ready formats.
• Coach, mentor, and develop computational scientists; foster rigor, urgency, accountability, collaboration, and impact.

• Bachelor's (12+ years) OR Master's (10+ years) OR PhD (8+ years) in a relevant field.
• Preferred advanced degree in computational biology/chemistry, bioengineering, biophysics, machine learning, or related field; experience applying computational methods to biologics/protein engineering/antibody or therapeutic discovery.
• 4+ years leadership experience.
• Track record influencing project decisions through rigorous analysis and clear communication.
• Ability to prioritize computational effort across competing needs and timelines.
• Experience validating/calibrating models to experimental outcomes and communicating confidence/limitations.
• Strong understanding of discovery biotherapeutics workflows from binder discovery to candidate nomination.

Flexible Time Off and comprehensive health/insurance; U.S. ranges provided:
Cambridge Crossing $211,950-$256,831;
Princeton-NJ $184,300-$223,325;
San Diego-CA $202,730-$245,665.