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Sr. ML Scientist (Scientific Applications)
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Full-time
- Early-stage investment focused on new drug discovery via advanced AI and cutting-edge research.
- Co-lead the development and evaluation of the core pipeline and codebase, making advances in a scientific application foundation model (contributing new ideas while helping to shape the direction of the team and others in the org, etc
- Our ideal candidate will be able to collaborate with experimental scientists, advance the state of the art in new drug discovery, and take research-grade ML experiments and ensure they can be run in a stable and repeatable manner.
- 3+ years of industry (or relevant post-doc research) experience developing new methods for AI-based scientific applications with an advanced degree (PhD preferred) in Computational Biology, Computer Science, Applied Math, Physics, or a related field
- Strong foundational knowledge of advanced machine learning concepts with hands on exp in ML architecture design, scaling, and deployment (preference given to transformer-based modeling exp)
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