Real world training envs for healthcare AI models. Backed by Y Combinator.
About the role
AI labs are moving quickly into healthcare, but the bottleneck is no longer just models. It is access to the right data, in the right format, with the right taste and judgment behind it. This role puts you at the center of that shift. You will engage directly with frontier AI labs, human data companies, and medical data providers across the world. Your work will influence how leading teams train and evaluate models on real clinical workflows.
What they're looking for
- Own customer success and data delivery end-to-end, from first conversation through scoped dataset delivery
- Work closely with AI labs, human data companies, and strategic customers to understand exactly what they need and translate that into actionable data plans
- Engage with hospitals, clinics, imaging groups, and global medical institutions to source and evaluate clinical datasets
- Develop strong taste for what makes medical data useful for AI training, evaluation, and post-training workflows
- Help BioStack think through dataset design, quality control, provider selection, and delivery planning
- Stay close to how frontier research in AI for medicine is evolving, and use that understanding to guide customer conversations and internal decisions
More about this role
BioStack is building the data layer for AI-native healthcare and drug discovery. We work with leading AI labs, human data companies, and frontier biotech teams to source, structure, and deliver high-value clinical and preclinical datasets for model training, evaluation, and deployment.
We sit at the intersection of healthcare, frontier AI, and data infrastructure. Our work spans medical institutions, clinics, imaging centers, and data partners globally, turning messy real-world clinical workflows into AI-ready products that matter.
BioStack is backed by Y Combinator, Afore Capital, Verdict Capital, Heroic VC, and high-profile angels from Meta and Google DeepMind.
- Own customer success and data delivery end-to-end, from first conversation through scoped dataset delivery
- Work closely with AI labs, human data companies, and strategic customers to understand exactly what they need and translate that into actionable data plans
- Engage with hospitals, clinics, imaging groups, and global medical institutions to source and evaluate clinical datasets
- Develop strong taste for what makes medical data useful for AI training, evaluation, and post-training workflows
- Help BioStack think...
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