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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• 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
Apply tot his job
Apply To this Job