Clinical Development Lead, AI/LLM
Company websitenekohealth.com (Neko Health, opens in new tab)
Base salary $259K to $297K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (6 min ago) · observed since
About this job
Mission
Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.
In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.
Role Purpose
We're looking for an exceptional Clinical Development Lead to own the clinical accuracy and safety of every generative AI surface Neko Health builds: the member-facing LLM chat, the Gen AI UX, Doctor Scribe, and Pre-brief. This is a high-impact role for a clinician who knows how to set the quality bar for generative output in a clinical context and then hold it.
You'll lead the LLM and AI pillar within Clinical product and development, partnering directly with the LLM and AI Product Manager and Engineering lead: one clinical lead to one pillar, alongside them rather than shared across them. Their goal is engagement, with members returning, using the chat, and trusting it to help them understand and navigate their health. You own the thing that makes engagement safe to want: clinical quality. A generative surface someone uses ten times a year is only good if it is right every time. You set that bar, and you are the DRI for clinical safety of what these surfaces say.
We're post-Series B and moving quickly, and this area of work is about clinical judgement, evaluation rigour, and strong advisory capabilities.
What You'll Deliver in the First 6–12 Months
Set clinical requirements and the quality bar for all generative AI surfaces, acting as clinical DRI from scoping through rollout.
Build and run the clinical evaluation framework for generative outputs, and define the acceptance threshold behind the >90% eval score.
Own the clinical safety case for member-facing chat: hallucination, unsafe or incorrect advice, and missed escalation.
Validate Doctor Scribe output against the auto-generated debrief and referral-accuracy targets.
Partner with the LLM and Gen AI PM and Engineering lead on the pillar roadmap, validating every release against clinical safety, accuracy and compliance.
Work alongside the Member Experience and Medical Tools clinical leads, plus Quality & Compliance, Learning & Education, Operations and market/clinic leadership, across the product lifecycle.
Carry a small, protected clinical commitment (roughly 0.05–0.1 FTE) to stay grounded in clinic reality.
Minimum Requirements
A practising or recently practising physician with the credibility to set the clinical bar and act as DRI, or an equivalent clinical-scientific background with deep clinical fluency.
Direct experience with LLMs or generative AI in a healthcare or clinical-content setting: building, evaluating, or clinically validating generative outputs.
Strong grasp of the failure modes of generative models in a clinical context (hallucination, unsafe advice, missed escalation) and how to evaluate against them.
Working understanding of medical-device and clinical-software quality and safety obligations (e.g. EU MDR, GCP) as they apply to AI.
Ability to produce and validate specialist clinical content, not only to coordinate others who do.
Comfort operating across Swedish, UK and US clinical contexts, and the judgement to know when to override the tool with clinical reasoning.
Source: Neko Health on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($259,000) is above 70% of the 210 Healthcare Clinical roles in New York listed on this site. Their median floor is $200,000; the middle half runs from $135,000 to $273,839.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingClinical Development Lead, AI/LLM$259K to $297K
Skin Health Specialist - Physician$259,200 to $297,000
Global Security Lead$256,500 to $313,500
Clinician Education Specialist, Launches$252,000 to $288,750
Family Medicine Physician$240K to $275K
Physician$240K to $275K
Physician$240K to $275K
Chart as a table
| Role | Published base |
|---|---|
| Clinical Development Lead, AI/LLM (this listing) | $259K - $297K |
| Skin Health Specialist - Physician | $259,200 - $297,000 |
| Global Security Lead | $256,500 - $313,500 |
| Clinician Education Specialist, Launches | $252,000 - $288,750 |
| Family Medicine Physician | $240K - $275K |
| Physician | $240K - $275K |
| Physician | $240K - $275K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-17
Where this pay comes from
Location as the employer wrote it: New York
USD 259,000 – 297,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
