Tamarind Bio
AI platform for computational biology tools in drug discovery
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.
Staff Software Engineer / Technical Lead
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.
Founding Product Marketer, GTM Marketing
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.
Founding Software Engineer
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.
Founding GTM, BD
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.
Founding Forward Deployed Engineer
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.
Core Operations, part-time
Part-time operations role supporting founders with scheduling, special projects, financial tracking, office management, and candidate hosting in a fast-paced AI drug discovery startup. Requires 2-6 years experience, high organization, and ownership mindset.
Computational Scientist
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.