Clinical Data Lead

BioStack Platforms, Inc.; San Francisco (CA); On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Relocation support

401(k) benefits

All-expenses-paid trips

San Francisco office access

Flexible work setup

Growth opportunities

High-trust environment

Job summary

BioStack Platforms, Inc. is building the data layer for AI-native healthcare and drug discovery in a global network of hospitals, imaging centers, and data partners.

You will own customer success and dataset delivery end-to-end, working with AI labs and medical providers to shape data plans and ensure timely delivery. You will help define dataset design, quality controls, and delivery strategies while staying close to evolving AI research in medicine.

Qualifications

• Demonstrated ability to work with hospitals, clinics, imaging groups, or medical institutions.
• Strong communication and follow-through in fast-moving customer environments.
• Experience with healthcare data, medical AI, or data operations is preferred.

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 translate needs into data plans.
• Engage with hospitals, clinics, imaging groups, and global medical institutions to source and evaluate clinical datasets.
• Develop judgment on what makes medical data useful for AI training, evaluation, and post-training workflows.
• Help design dataset structure, quality control, provider selection, and delivery planning.
• Stay informed on frontier AI-for-medicine research to guide conversations and decisions.
• Travel as needed and be on-call for critical customer conversations.

Skills

Customer-facing roles

Healthcare data

Data operations

Cross-cultural collaboration

Job description

Real world training envs for healthcare AI models

Type Full-time

Equity 0.10% - 1.00%

Experience Any (new grads ok)

Visa Will sponsor

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
• 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 operations
• Understand how leading AI labs think about model training, evaluation, and real-world deployment

You do not need a perfect resume.
You do need to show that you can learn fast, operate independently, communicate extremely well, and develop strong judgment on the job.

If you've been the person others come to when things need to get done, if you learn by doing, and if you want ownership over real outcomes — this role is built for you.

This Role Is Not For You If

• You want a highly structured environment with narrow responsibilities
• You are not excited by travel, urgency, and external-facing work
• You struggle with ambiguity, follow-through, or fast-moving customer situations

First 90 Days

While we will develop precise goals based on priority and timelines, you can expect to hit the following milestones in the first 90-days of the job —

• You will have negotiated and delivered our first longitudinal dataset from a major US-based radiology group
• You have helped improve our internal process for sourcing, scoping, QC, and delivering high-value clinical datasets
• You have developed relationships with multiple vendors who can deliver data from across the world consistently at scale

What We Offer

• Strong base compensation in the range of $120k-$200k, depending on experience and scope
• Uncapped performance-based variable compensation and additional upside for high performers who drive larger deployments and scaled wins
• Medical insurance to keep you covered
• Relocation support for candidates moving closer to their territory
• 401(k) benefits available
• All-expenses-paid trips to industry events and company gatherings, plus access to our San Francisco office
• Flexible work setup
• Clear opportunities for growth as the company scales, with room to expand technical depth, customer ownership, and commercial responsibility
• A supportive, high-trust environment that values ownership, execution, and real customer impact

BioStack is building the post-training lab for healthcare AI. We create the data, benchmarks, models, and RL reward functions needed to make AI work in real clinical settings. Real projects, measurable outcomes, physician-validated results.