Head of AI/ML Therapeutic Design

Key Responsibilities

• Deploy state-of-the-art generative models for de novo protein design, and molecule screening, and optimization, focusing on timely drug discovery impact.
• Architect and train new models with a clear path towards program impact and differentiation.
• Partner deeply with our Discovery as well as Biologics & Enabling Technologies teams to seamlessly integrate high-throughput laboratory data into model training, accelerating the Learn-Design-Build-Test (LDBT) loop to an industrial scale.
• Drive the computational discovery of novel therapeutic candidates across multiple modalities, advancing our internal pipeline and strategic partnerships (such as our active pharma collaborations).

Required Qualifications

• Advanced degree (PhD preferred) in Computer Science, Machine Learning, Computational Biology, Physics, Applied Mathematics, or related discipline.
• 15+ years of industry or rigorous academic experience, with a proven track record of developing and deploying novel deep learning architectures for molecular biology, protein design, or structural biology.
• Deep expertise in modern machine learning paradigms (Transformers, Diffusion, Equivariant architectures) and a strong command of state-of-the-art tools, including ML-ops.
• Demonstrated experience leveraging AI/ML, reproducibly and at scale, delivering impact in drug discovery contexts.
• Demonstrated experience with modern engineering architectures to facilitate rapid and scalable implementation and deployment of AI/ML capabilities.
• Demonstrated experience leveraging heterogeneous high- and small-throughput datasets to drive model development.
• Significant experience managing and scaling high-performing computational teams in a fast-paced, matrixed tech-bio or big tech environment.
• A strong publication record in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR) and/or scientific journals (e.g., Nature, Science, Cell), or a track record of shipping impactful, widely used models/software in the biomolecular space.

Values and Behaviors

• We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment.
• Ability to translate complex AI concepts to cross-functional stakeholders, seamlessly bridging the gap between cutting-edge computational research and wet-lab drug discovery.
• Act decisively and own end-to-end accountability, making timely, data-informed decisions, taking responsibility for results, and delivering commitments in dynamic environments.