Director, Translational AI & Mechanistic Biology
Core
Director leading Translational AI to uncover biological mechanisms driving disease, treatment response, and resistance by integrating multimodal data (omics, imaging, clinical) and applying advanced AI to accelerate drug development.
Role type
Director, Translational AI & Mechanistic Biology
Builds
Reusable AI methods, platforms, and capabilities for translational science and drug development
Domain
Biopharmaceutical R&D, Computational Biology, Translational Medicine
Deliverable
production ML models
Required skills
Foundation model training and fine-tuning, model interpretability and explainability, causal machine learning, graph machine learning, agentic AI, Python, deep learning frameworks (PyTorch), cloud platforms (AWS/Azure/GCP), generating novel insights from complex biological datasets
Preferred skills
Human disease biology, translational datasets (genomics, transcriptomics, proteomics, single-cell, spatial biology, pathology imaging, longitudinal/real-world data), pharmaceutical research lifecycle, mechanism of action studies, biomarker discovery, patient stratification, systems biology, biomedical knowledge graphs
Technologies
PyTorch, AWS, Azure, GCP, LLM tooling, frontier coding agent frameworks
Responsibilities
Apply AI to elucidate disease mechanisms and drug mechanisms of action; Integrate molecular, cellular, omics, imaging, and clinical data to generate biological insights; Develop models connecting targets, pathways, biomarkers, and clinical outcomes; Build analytical frameworks deployable across multiple therapeutic areas; Partner with translational scientists, clinicians, and bioinformaticians; Mentor junior scientists and contribute to best practices
Seniority
Director, strategy & mentorship
