Lead, Medical Sciences

Socket.dev; Illinois; On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Equal Opportunity Employer

Opportunity to impact health care

Job summary

K Health is seeking an experienced clinician to serve as the medical voice inside our AI organization. You will work with AI researchers, product managers, clinical managers, and external partners to shape safe, useful clinical AI products that improve patient care.

You will bridge medicine and AI research, assess model outputs for safety and value, and translate clinical requirements into product specifications. This hands-on role requires strong clinical judgment and a builder mindset.

Qualifications

• Licensed physician with substantial clinical experience.
• Experience with US healthcare workflows and EMRs (Epic a plus).
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Provide clinical guidance throughout AI product development.
• Evaluate clinical risk and safety of AI outputs.

Skills

Clinical medicine

Cross-functional collaboration

AI/machine learning exposure

Communication skills

US healthcare workflows

EMR experience

Data analysis

Education

MD/DO or equivalent

Tools

Epic EMR

ML basics

Job description

About the role

We are looking for an experienced clinician to serve as the medical voice inside our AI organization. In this role, you will work shoulder-to-shoulder with AI researchers, product managers, clinical managers, and external partners to shape clinical AI products that are safe, useful, and genuinely valuable to patients and care teams.

You will act as the bridge between medicine and AI research - bringing deep clinical judgment to the design, evaluation, and continuous improvement of AI systems that touch real patient care. This is a hands-on, cross-functional role for someone who is as comfortable dissecting a model's clinical failure modes as they are defining the next product opportunity.

What you'll be doing

• Partner directly with AI researchers as the resident domain expert, contributing clinical insight throughout the development of innovative clinical AI products - from framing the problem to validating the solution.
• Design and lead the clinical evaluation of AI products, defining what "good" looks like from a medical standpoint and rigorously assessing model outputs for safety, accuracy, and real-world clinical value.
• Serve as the medical product owner, working alongside product managers, clinical managers, the CMO, and external partners to identify unmet needs, surface gaps, translate clinical requirements into product specifications, and derive new features from them.
• Ground product and research decisions in clinical reality, ensuring that what we build fits how medicine is actually practiced and improves outcomes for patients and clinicians.
• Communicate clearly across disciplines - translating clinical nuance for technical teams and technical trade-offs for clinical and business stakeholders.

What we're looking for

• A licensed physician or equivalently qualified clinician with substantial hands-on clinical experience, ideally in primary care, family medicine, internal medicine, or a related generalist field.
• Clinical experience in the US is an advantage (not a requirement).
• Strong ability to reason about clinical workflows, patient safety, and where AI can meaningfully help (and where it can't).
• Comfort working in a fast-moving, cross-functional environment alongside researchers, engineers, and product teams.
• Genuine curiosity about AI and a desire to learn how modern clinical AI products are built and evaluated; prior exposure to AI, machine learning, or digital health products is a strong plus.
• Excellent communication skills and the ability to bridge medical, technical, and commercial perspectives.
• Strong technological orientation - experience with LLM-based product development, coding, data analysis, or similar technical skills is an advantage.
• Comfort with EMRs in general, and Epic specifically, is an advantage.
• Previous experience in a health tech company, product development, or AI is a strong advantage.
• A builder's mindset - proactive, detail-oriented, and driven to turn clinical expertise into products that make a real impact on health and wellbeing.

Who We Are:

Behind every leading health system is K Health's AI-powered virtual care engine.

Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.

Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.

We're founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.

We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.

We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We're deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.