Tamarind Bio
San Francisco, CA
AI platform for computational biology tools in drug discovery
About
Tamarind Bio provides a no-code web platform and API for scientists to run computational biology models like AlphaFold, RFdiffusion, and ProteinMPNN at massive scale. It serves biopharma companies and researchers for protein design, structure prediction, molecular docking, and optimization without needing custom infrastructure. This accelerates drug discovery by democratizing access to cutting-edge AI tools.
Tech stack
Python, PyTorch, TensorFlow, CUDA, Docker, AWS, React, DynamoDB
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7Tamarind Bio
San Francisco, CA
Hands-on technical leader providing architecture guidance, mentoring engineers, and contributing to infrastructure, backend, APIs, and ML systems at an early-stage AI drug discovery startup.
Tamarind Bio
San Francisco, CA
Founding GTM Product Marketer to define brand, messaging, and positioning for an AI-powered drug discovery platform. Translate complex technical concepts for scientists and enterprise buyers while building marketing from the ground up.
Tamarind Bio
San Francisco, CA
Founding engineer building and scaling a computational biology platform for AI-powered drug discovery, owning infrastructure, ML services, APIs, and web interfaces while collaborating with founders and users. Requires AWS DevOps, MLOps, and React expertise; onsite in SF.
Tamarind Bio
San Francisco, CA
Founding GTM hire partners with founders to build outbound sales engine targeting pharma, biotech, and research institutions. Focuses on creative pipeline generation, engaging technical buyers like scientists and ML researchers, and shaping early GTM strategy for AI-powered drug discovery platform.
Tamarind Bio
San Francisco, CA
Deploys AI/ML workflows for scientists and pharma customers, owning pilots from scoping to production. Configures models, optimizes pipelines, and feeds insights to product team. Requires strong Python engineering and AI systems experience.
Tamarind Bio
San Francisco, CA
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.
Tamarind Bio
San Francisco, CA
Infrastructure Engineer scales ML inference systems serving 150+ biological models using Kubernetes and AWS. Requires containerization expertise, cloud knowledge, and onsite presence in San Francisco.