Computational Scientist
Tamarind Bio · San Francisco
Bio & Science AIonsite
At a glance
Highlights
- Scale AI-powered drug discovery tools used by thousands of pharma scientists.
- Turn structure prediction and protein design models into production workflows.
- Partner directly with customers to run large-scale biological AI pipelines.
Ideal candidate
Computational biologist excited to apply cutting-edge AI to real drug discovery, who thrives at the intersection of science and infrastructure and enjoys partnering with customers to scale reliable workflows.
Requirements
- 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
- hiring process
- Recruiter Screen (15-30 minutes, Virtual) -> Technical Interview (90 minutes, Virtual) -> Onsite (1 day, San Francisco)
Lab profile
About Tamarind Bio
Inference platform for molecular AI models enabling scientists to computationally design drugs.
What they build
- Inference platform for molecular AI models
- AI-powered drug discovery platform
Known for
- Reliable deployment at scale
- Integration with existing data and workflows
- Enterprise-grade security
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