Senior Director – BioIntelligence

Role Overview

• Lead the BioIntelligence Team within our Large Molecule Discovery organization, defining strategy and priorities for AI-driven biologics modeling.
• Develop and execute a roadmap for machine learning and AI approaches that accelerate engineered biologics discovery.
• Align BioIntelligence capabilities with broader Research and Large Molecule Discovery priorities.
• Oversee development of predictive models for key biologics properties, including developability, stability, manufacturability, and immunogenicity.
• Advance modeling approaches using modern AI techniques such as: protein language models, generative modeling and inverse folding, representation learning, active learning and Bayesian optimization.
• Guide the use of multimodal biological datasets including sequence, structure, and experimental assay data.
• Lead development of production-quality research software and deployable ML models used across discovery teams.
• Partner with software engineering and data platform teams to ensure models are scalable, reproducible, and integrated into R&D workflows.
• Establish best practices for MLOps, model lifecycle management, and reproducible scientific computing.
• Work closely with teams across protein engineering, immunology, display technologies, systems biology, and discovery platforms.
• Partner with experimental scientists to design data generation strategies and active learning loops that improve model performance.
• Collaborate with data engineering and informatics groups to improve data accessibility, quality, and reuse across the discovery ecosystem.
• Build, mentor, and lead a high-performing team of machine learning scientists and computational biologists.
• Foster a culture of scientific rigor, innovation, and collaboration between computational and experimental scientists.
• Drive adoption of AI solutions across research teams by ensuring models are interpretable, robust, and scientifically trusted.

Requirements

• Doctorate degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 5 years of experience applying machine learning or computational modeling to biological systems.
• OR Master’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 9 years of experience applying machine learning or computational modeling to biological systems.
• OR Bachelor’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 11 years of experience applying machine learning or computational modeling to biological systems.
• In addition to meeting at least one of the above requirements, you must have at least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
• group medical, dental and vision coverage
• life and disability insurance
• flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible.