Director, AI and Machine Learning for Biology
Core
Shape and execute global AI strategy for an AI-enabled discovery engine integrating human data, genetics, and multi-omics to uncover causal drivers of aging and accelerate target discovery for age-related diseases.
Role type
Director, Data Science & AI (Strategic Leadership & Technical Direction)
Builds
AI-enabled discovery engine, biological foundation models, multimodal learning systems, and biomedical knowledge graphs
Domain
Biotechnology / Drug Discovery / Aging Research
Deliverable
production ML models
Required skills
Strategic leadership of global AI teams, advanced machine learning (foundation models, multimodal learning, generative models), deep learning, large-scale biological data modeling, Python, distributed computation, omics data analysis, stakeholder management
Preferred skills
Statistical genetics (GWAS, Mendelian randomization), ETL/ELT pipelines, biomedical ontologies, knowledge graph technologies, developing biological aging clocks
Technologies
Python, deep learning frameworks, version control systems, machine learning operations frameworks
Responsibilities
Lead US Data Science & AI efforts and shape global strategy; Define prioritized AI portfolio and impact measures; Drive development of biological foundation models and agentic workflows; Build and lead high-performing US team; Translate scientific questions into computational strategies; Evaluate emerging technologies and establish external partnerships
Seniority
Director, strategic leadership with hands-on technical depth
