Website:
lh2.ai
Job details:
Healthcare Data Partnerships Lead
Founder's Office, Healthcare
LH2 AI Labs · On-site · 2–5 yrs experience · Full-time
ABOUT LH2Built by second-time founders who have built and sold companies before, LH2 AI Labs (lh2.ai) is building the post-training infrastructure for frontier AI models. We bring private, high-quality institutional datasets and vetted domain experts to frontier AI pipelines across verticals — coding, computer use, agentic, medical, audio, and more.
For AI to keep progressing, it needs high-quality datasets drawn from real production use cases. The public web has already been crawled and trained on — there's nothing left in the public domain to learn from. That's where we come in: we partner with institutions to connect their data to frontier models and help advance AGI.
Healthcare is one of our highest-priority verticals. Frontier labs need multimodal clinical data — de-identified notes, imaging, lab results, genomics — to train models that can eventually support diagnosis, triage, and care. That data sits locked inside hospitals, diagnostic chains, EHR vendors, and payers, with no trusted way to license it out. We're hiring the person who builds that pipeline from zero.
THE ROLEWe're looking for someone to lead our Healthcare data vertical.
Leading this vertical means an ownership mindset and owning the entire data stack: finding the right data owners — hospitals, diagnostic and pathology chains, radiology and teleradiology providers, EHR/HIS/PACS vendors, payers, and health-tech platforms — understanding what frontier models need to train on, negotiating licensing rights, building the data pipelines with our engineering team, and closing the licensing agreements.
This is a seat in the founder's office, but read this part carefully: it is not a chief-of-staff, strategy, or analysis role. It's a carry-a-number, cold-outreach, close-the-deal role that happens to sit right next to the founders. If you want to build decks and shape strategy without ever owning a number, this isn't it. Think of it as a VERTICAL LEAD function — for Healthcare.
Here's how it works. We point you at Healthcare, and you go build its supply from scratch. You figure out who in the world has the clinical and operational data we need, work out how to win them, and close them. You own the whole thing: who to approach, in what order, on what terms, and where the moat gets built. The vertical runs like its own small business, and what you learn in the field shapes what the founders prioritize next.
Every “customer” here is a supply partner — a hospital, health system, diagnostic chain, EHR vendor, payer, or clinical expert sitting on data or expertise we want. Most are relationships that don't exist yet; your job is to originate them and get to yes. These are mid-market and SMB-style deals: small decision-making groups, usually a founder, medical director, or head of operations, and you run the whole conversation end to end. If you've closed deals with fewer than five people in the room — and liked it — you'll feel at home.
We can teach you the data landscape, the compliance requirements, and the AI side of this. We can't teach you to think on your feet or to want the close. That part you bring.
WHAT YOU'LL ACTUALLY DOBuild Institutional Supply
- Run the full cycle solo: outreach → discovery → pitch → objection-handling → negotiation → close, across hospitals, diagnostic/pathology chains, radiology and teleradiology providers, EHR/HIS/PACS vendors, payers, and health-tech/telemedicine platforms.
- Read what a partner has and what they care about — data readiness, digitization level, compliance posture — then build a deal that works on both sides. Every deal is bespoke; this is problem-solving, not order-taking.
- Structure and negotiate data licensing terms: scope, exclusivity, pricing, de-identification requirements, and usage rights — and get the data and the signature.
- Where the vertical needs a clinical expert bench — for annotation, validation, or reasoning traces — go recruit and sign those experts too.
Own the Vertical
- Manage your book of partners after the close — onboarding, PHI/PII redaction sign-off, payments, renewals, follow-ups.
- Hold the quality bar: make sure incoming clinical data clears the spec (de-identification, provenance, format), and have the hard conversation when it doesn't.
- Segment the market — provider, payer, life sciences, medical devices — and build a differentiated approach for each.
- Hit your coverage targets and protect your margin.
- Feed the founders the truth from the field — what's available, at what cost, where the compliance and trust constraints are — and help shape what Healthcare does next.
WHAT WE'RE LOOKING FOR- Genuinely sharp. Top-tier education and/or time at well-regarded companies — you've operated around a high bar and it shows. You pick things up fast and can hold your own in a room, including with hospital administrators and medical directors.
- Consultative problem-solver — you read what a counterpart needs, solve the problem in front of you, and build a deal around it.
- Think like an owner — comfortable shaping how Healthcare goes to market, not just executing a plan handed to you.
- Comfortable negotiating bespoke, non-standard terms, including around consent, de-identification, and data-use restrictions.
- Sharp on quality: you can tell what clinical data is worth closing and what isn't.
- Healthcare data fluency is a strong plus, not a requirement: working familiarity with EHR/EMR systems, DICOM/PACS, and de-identification frameworks (HIPAA or India's DPDP Act) will help you move faster — we can teach the rest.
- Existing relationships in the provider, payer, or life sciences data ecosystem are a strong plus.
- High ownership; thrive in fast, ambiguous environments.
- You can sell. 2–5 years in sales, partnerships, or BD with a real sales cycle — ideally opening and building new relationships from scratch (new-business/new-logo, not just managing an existing book). You've carried a number and owned deals end to end. Prior exposure to healthcare, health-tech, or life sciences is a plus but not required.
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