Clinical Data Lead
About the role
BioStack is building the data layer for AI-native healthcare and drug discovery. The Clinical Data Lead role focuses on owning customer success and data delivery end-to-end, sourcing clinical datasets, and guiding data plans for AI model training and deployment.
Responsibilities
- 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
Qualifications
- 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
- 2+ years in customer-facing technical roles or high-intensity environments (e.g., OpenAI, Google, Mercor, Turing, top startups) or rapid progression track
Skills
Benefits
- Medical insurance
- Relocation support
- 401(k) benefits available
- All-expenses-paid trips to industry events and company gatherings, plus access to San Francisco office
- Flexible work setup
- Opportunities for growth with expanded technical depth, customer ownership, and commercial responsibility
- A supportive, high-trust environment that values ownership, execution, and real customer impact
About BioStack Platforms
Real world training envs for healthcare AI models
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.
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