# Computational Scientist

**Company:** [Tamarind Bio](https://hotfix.jobs/companies/tamarind-bio)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $150k – $250k/yr
**Skills:** Python, PyTorch, TensorFlow, CUDA, Docker, AWS, Conda, Molecular Modeling, Protein Design, Structural Biology, Machine Learning, Protein-Ligand Docking, Molecular Dynamics
**Posted:** 2026-03-08

> Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.

## Job Description

## 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.

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