Computational Scientist

Responsibilities

• Work with founders and engineers to integrate and deploy biological ML models on the Tamarind platform.
• Build and refine workflows connecting tools like structure prediction, docking, and scoring models.
• Partner with customers to troubleshoot pipelines and help them run large-scale discovery workflows.
• Evaluate new research tools and integrate promising models into the platform.
• Contribute to improving reliability, performance, and scalability of scientific pipelines.

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).
• Located in the SF Bay Area or able to relocate.