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Computational Biologist - Protein Engineering

Tamarind Bio· Engineering
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Hybrid (San Francisco, CA)$150k - $250k + equityFull-timePosted 11mo ago

About the role

Computational biologist to curate, build, and scale drug discovery tools, integrating structure prediction, protein design, docking, and scoring. Collaborates with founders and customers to leverage open source software and AI advancements in drug discovery.

Responsibilities

  • - Help curate, build, and scale a comprehensive set of drug discovery tools.
  • - Develop and deploy tools for structure prediction, protein design, docking, scoring, and related tasks.
  • - Work directly with customers to leverage open source software for their tasks, often chaining multiple tools together.
  • - Stay informed about the latest advancements in AI drug discovery and contribute breadth and depth of knowledge to the team.

Qualifications

  • - Knowledge of ML and physics-based tools in structural biology, protein design, molecular dynamics, docking (protein-protein and protein-ligand), peptide discovery, virtual screening.
  • - Knowledge of enzymology, protein therapeutics, and peptide discovery.
  • - Familiarity with literature and evolving state of the art in computational protein engineering tools.
  • - AWS DevOps (DynamoDB, EC2, S3, Docker, etc.) and MLOps (CUDA, Conda, TensorFlow, PyTorch).
  • - Ability to develop general-purpose, production-ready software.
  • - Located in the SF Bay Area or willing to relocate to the Bay Area.

Skills

Required:ML and AI in structural biologyEnzymology and protein therapeuticsAWS DevOps and MLOpsSoftware development
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Tamarind Bio

Easy to use computational biology tools for drug discovery

Tamarind Bio is a website and API which allows scientists to use computational biology tools at scale using a simple interface. On Tamarind, scientists can use ML models like AlphaFold to design and simulate molecules by simply selecting inputs instead of or setting up a high performance computing environment or dealing with DevOps. Our tools are used by thousands researchers in large pharma companies, top biotechs, and academic institutions. We currently focus on models in protein design and engineering, including for antibodies/therapeutics and enzymes. Get in touch at founders@tamarind.bio

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