Therapeutics Architect

Therapeutics Architect This role is hybrid, and can be located in either our South San Francisco office, or be based remotely in New York. Key Responsibilities: • Own the evaluation and championing of biological insights and therapeutic opportunities from first look through portfolio nomination. • Work cross-functionally to drive programs forward by defining the questions, decision criteria, and actions required at each stage • Develop platform-informed hypotheses around therapeutic targets, mechanisms, patient populations, biomarkers, and clinical strategy • Build evidence packages that inform investment, partnering, and development decisions • Design and improve AI-enabled scientific workflows that increase the durability and quality of therapeutic decision-making • Prioritize across the portfolio by balancing biological opportunity, technical feasibility, clinical impact, and strategic fit WHAT WE'RE LOOKING FOR The strongest candidates embrace uncertainty and treat new technology as a candidate baseline for scientific reasoning the moment it emerges. Curiosity drives them across disciplines, where they direct intelligent systems to explore ideas, challenge assumptions, and surface hypotheses they wouldn't have found alone. But just as importantly, they bring judgment back. Meaning they can separate plausible outputs from meaningful outputs, recognize weak or circular reasoning, and can combine machine intelligence with deep biological and therapeutic discernment to make better decisions. And finally, they are company and portfolio builders rather than single-project owners. They hold strong scientific opinions, adapt when the evidence changes, and optimize for the company's best path forward for success. Qualifications: • PhD, MD, or equivalent experience in cancer biology, immunology, pharmacology, molecular biology, translational medicine, or a related discipline • Bona fide experience on drug discovery or development programs, with a working feel for the scientific, operational, and strategic go/no-go decisions required to move a program forward... or kill it • Strong intuition for turning hypotheses into viable therapeutic programs, spanning target validation and modality considerations through translational strategy and positioning • Genuine comfort in a room that mixes biology, machine learning, computational science, and strategy, where no one person holds the singular answer • Hands-on use of modern AI tools in scientific work, with examples of how they've changed the way you investigate questions, evaluate evidence, or make therapeutic decisions • A systems-thinking mindset with the ability to prioritize across competing scientific opportunities • Excellent scientific judgment, clear communication skills, and the ability to influence across diverse stakeholders • Bonus: experience with computational biology, data science, machine learning, or programming (Python, R, SQL), though deep biological reasoning and therapeutic judgment are more important than any particular technical stack