about 4 hours ago
Responsibilities
- 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 scientific content into the ideation, training, and benchmarking of complex models.
- Act as a technical beacon for the team, representing SandboxAQ scientifically and shaping its vision.
- Mentor junior researchers and collaborate across engineering and product teams.
Requirements
- PhD in Computer Science, Computational Chemistry, or a related field.
- At least 4 years of post-PhD experience in a professional industry setting.
- Direct experience developing co-folding and/or affinity prediction models.
- Proven excellence in co-folding and/or affinity prediction demonstrated by industrial projects or publications.
- Experience with Python and modern ML frameworks (PyTorch/JAX) at scale.
Benefits
- Competitive base salary and performance-based incentives.
- Comprehensive medical, dental, and vision coverage with generous employer contributions.
- Retirement savings with company matching and paid parental leave.
- Flexible paid time off and support for flexible work arrangements.
- Opportunities for continuous learning and growth through internal programs.