Computational Biologist - Protein Engineering

at Tamarind Bio — AI Inference Platform for Drug Discovery

San Francisco, CA, USFull-timeAny (new grads ok)$150K - $250K0.25% - 2.00% equityYC-W24

What the role involves

We’re looking for a computational biologist to help us curate, build, and scale a comprehensive set of drug discovery tools. You will work directly with the founders to build and deploy tools for structure prediction, protein design, docking, scoring, and more. You’ll be working directly with customers to help them leverage the best open source software for their task, often chaining multiple tools together. We’re looking for someone excited about the latest advancements in AI drug discovery and both breadth and depth of knowledge in the field.

Qualifications and Skills

Knowledge of ML and physics based tools in structural biology, protein design, molecular dynamics, protein-protein and protein-ligand docking, peptide discovery, virtual screening, etc.

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 able to relocate to the Bay Area

Pluses

  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Knowledge of full stack software engineering, e.g. React and API development
  • Computational chemistry, including molecular dynamics, docking, and virtual screening methodologies for small molecule discovery
  • Graduate degree in math, CS, stats, bioengineering, comp bio, or a related field

What they ask for

Amazon Web Services (AWS)PythonDeep LearningProtein engineering

About Tamarind Bio

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. Tamarind is used by tens of thousands researchers in large pharma companies, top biotechs, and academic institutions.

Full Tamarind Bio profile

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