Principal Scientist, Machine Learning, Biomolecules
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Le poste
Lead multiple AI/ML and computational projects across early-stage biotech ventures, defining pragmatic AI strategies and production-ready pipelines.
Own method and platform development across domains including protein design, molecular modeling, systems biology, and LLM/agent-based workflows.
Ensure rigor in model development, benchmarking, scaling, and reporting, with strong focus on reproducibility, governance, and cross-functional delivery.
Manage internal and external scientists and engineers, mentor early hires, and contribute to recruiting and cross-team collaboration.
Scout literature and landscape shifts in AI/ML to propose new development directions and opportunities across the portfolio.
Deliver end-to-end AI-enabled workflows used by researchers, from conception to deployment and ongoing optimization.
Own method and platform development across domains including protein design, molecular modeling, systems biology, and LLM/agent-based workflows.
Ensure rigor in model development, benchmarking, scaling, and reporting, with strong focus on reproducibility, governance, and cross-functional delivery.
Manage internal and external scientists and engineers, mentor early hires, and contribute to recruiting and cross-team collaboration.
Scout literature and landscape shifts in AI/ML to propose new development directions and opportunities across the portfolio.
Deliver end-to-end AI-enabled workflows used by researchers, from conception to deployment and ongoing optimization.
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