A unified interface 300+ AI molecular design tools, available via web interface, API, and agents. Run models like AlphaFold, RFdiffusion, or BindCraft at massive scale, connect them together and fine-tune them on internal data. Backed by Y Combinator.
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.
What they're looking for
- 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
More about this role
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
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...
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