Computational Scientist
About the role
We’re hiring a Computational Scientist to help curate, build, and scale Tamarind’s library of AI-powered drug discovery tools. In this role, you’ll work closely with the founders and engineering team to operationalize cutting-edge models for structure prediction, protein design, docking, scoring, and other core biological AI workloads. You’ll help transform fragmented research tools into production-ready workflows that scientists can run reliably at scale. You’ll collaborate directly with customers to understand their discovery challenges and help them leverage Tamarind’s platform to run real biological AI pipelines. This often involves chaining multiple tools together, troubleshooting workflows, and identifying opportunities to improve the platform.
Qualifications
- Strong background in computational biology, computational chemistry, bioinformatics, or related field
- Familiarity with ML and physics-based tools in structural biology, molecular dynamics, protein–ligand docking, or virtual screening
- Experience working with biological data such as molecular structures, compounds, sequences, and databases
- Programming experience in Python and scientific computing workflows
- Comfort working with cloud infrastructure and ML tooling (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow)
- Likely located in the SF Bay Area or able to relocate