Clinical Data Lead

at BioStack Platforms — Real world training envs for healthcare AI models

San Francisco, CA, USFull-timeAny (new grads ok)$120K - $200K0.10% - 1.00% equityYC-S26

What the role involves

About BioStack

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.

What You’ll Do

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

Operate across time zones, manage follow-ups tightly, and stay highly responsive in fast-moving customer and partner situations

Travel extensively when needed and be comfortable being on call for critical customer or provider conversations

Why This Role Is Exciting

You’re entering AI for medicine at the perfect moment

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.

Work with the world’s best on real problems

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.

Own deeply hands-on, high-stakes work

This is not a slide-making role. You will be in the weeds with customers and partners, figuring out what data is actually useful, how it should be structured, what quality looks like, and how to get it delivered under real constraints.

Shape what we build next

Your judgment will directly shape BioStack’s clinical data products, sourcing strategy, and customer deployments. This is a foundational role with room to grow into broader customer ownership, product leadership, or strategic operations.

Who You Are

You are high agency, highly reliable, and comfortable operating in ambiguity. You can independently push things forward, build trust quickly, and keep many moving pieces aligned without needing heavy structure.

You’ve already proven you can operate (2+ years):

Customer-facing technical roles

High-intensity environments such as OpenAI, Google, Mercor, Turing, top startups, commissioning, or similar

Or a clear track record of excellence such as being promoted quickly or recognized as a top performer

You likely have

  • Experience in healthcare, biotech, data, operations, or other demanding customer- or partner-facing roles
  • Strong communication skills and very good follow-through
  • Good judgment around what customers actually want, even when they do not express it clearly
  • Comfort working across cultures, institutions, and time zones
  • Excitement about travel and external-facing work

A strong plus if you

  • Understand how data is generated and used inside medical settings such as ICUs, ERs, radiology departments, or inpatient workflows
  • Have intuition for pain points inside hospitals, clinics, or health systems
  • Have technical depth in healthcare data, medical AI, or data opera

What they ask for

Machine LearningReinforcement learning (RL)Data ModelingData AnalyticsBiotechnologyPharmacology

About BioStack Platforms

BioStack is building the data engine for healthcare and drug discovery AI. The bottleneck is not models. It is access to high-quality biological data. Clinical and experimental data is fragmented, unstructured, and locked inside hospitals, labs, and CROs, while generating new data is slow and expensive. BioStack fixes this with proprietary clinical and preclinical data pipelines that turn real biomedical workflows into ML-ready training environments. We structure longitudinal multimodal data across imaging, EHR, and experimental assays, then package it for post-training and reinforcement learning so models can learn how research and care actually happen. Instead of static datasets, BioStack gives AI labs workflow-aligned data and environments that improve reasoning, decision-making, and real-world performance in biology and medicine.

Full BioStack Platforms profile

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