Senior Director – BioIntelligence
Core
Lead the development and deployment of AI-driven predictive modeling capabilities for biologics discovery, transforming experimental data into actionable predictive models and scientific software.
Role type
Senior Director, AI & Data for Engineered Biologics (AIDE)
Builds
Scalable AI solutions, production-quality research software, and deployable ML models for Large Molecule Discovery
Domain
Biotechnology / Life Sciences / Machine Learning for Biological Systems
Deliverable
production ML models | product features
Required skills
Machine learning for biological systems, team leadership, strategic roadmap development, MLOps, protein language models, generative modeling, multimodal biological data analysis
Preferred skills
Experience deploying ML models into production scientific software platforms, expertise in protein sequence or structure modeling, track record of publications or patents in AI for life sciences
Technologies
Protein language models, generative modeling, inverse folding, representation learning, active learning, Bayesian optimization
Responsibilities
Define strategy and priorities for AI-driven biologics modeling; oversee development of predictive models for biologics properties; lead development of production-quality research software; build and mentor a high-performing team of machine learning scientists; partner with experimental and data engineering teams to integrate models into R&D workflows
Seniority
Senior Director, hands-on IC with leadership responsibilities