Staff ML Research Scientist, Co-Folding and Affinity
Job Description:
- Drive the research and development of next-generation deep learning models for protein-ligand co-folding and affinity prediction
- Bridge from research to commercial utility by equipping SandboxAQ’s software products with advanced predictive capabilities
- Bring novel ideas and the content of scientific papers into the ideation, training, and benchmarking of complex models
- Act as a technical beacon for the team, representing SandboxAQ scientifically and shaping its vision externally and internally
- Mentor junior researchers and collaborate across engineering and product teams to foster a culture of technical rigor and rapid iteration
Requirements:
- PhD in Computer Science, Computational Chemistry, or a related field
- At least 4 years of post-PhD experience, including experience in a professional industry setting
- Direct, hands-on experience developing and executing leading-edge co-folding and/or affinity prediction models
- Proven excellence in co-folding and/or affinity prediction, as demonstrated by participation in industrial projects and/or academic publications
- Experience functioning within a professional software team, including proficiency in Python and modern ML frameworks (PyTorch/JAX) at scale
Benefits:
- Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
- Retirement savings with company matching
- Paid parental leave
- Inclusive family-building benefits
- Flexible paid time off
- Company-wide seasonal breaks
- Support for flexible work arrangements that enable sustainable performance
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs
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