Job Description:

Summary:Are you the right applicant for this opportunity Find out by reading through the role overview below.Early-stage investment focused on new drug discovery via advanced AI and cutting-edge research.Focus: 75% modeling/25% sweSummary: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.Key Qualifications: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 fieldStrong 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)Excellent communication and presentation skillsStrong publication record in ML model development a definite plus!Please note:There are no fees associated with any of the support we provide our investments. Greylock Talent provides free candidate referrals/introductions to all of our active investments (one of the many services we provide).Due to the volume of applicants we typically receive, a follow-up email will not be sent unless a match is identified.