Clinical Lead, MD,
AI & Digital Health

About MedBAR.ai

MedBAR.ai built the flight simulator for clinical reasoning.

Medicine never documented its most important layer. The knowledge is in the textbooks, but the reasoning (what to ask, what to order, what to rule out, when to act) was never captured at the scale needed to learn from it. So it has always passed from expert to student one case at a time: at the bedside during residency, and today, in much the same way, in the training of frontier models. That is the layer we build for.

What began as research at the Technion and Rambam is now a live commercial product with leading medical faculties, a national examination body, top U.S. healthcare networks and the leading AI systems. The same platform trains and evaluates students, residents and experts, and evaluates the top AI systems and foundation models before and after they go live.

We are a small team built for talent density: scientists who have shipped before, clinicians who know the decisions made at the bedside, and senior healthcare executives from the U.S. and Israel.

Why join

• The stakes are real. Our scores help decide whether an AI system is ready to see patients, and whether a resident is ready to decide alone. Your work is judged in the field, not in a demo.
• No layers. You work directly with everyone in the company and with our close partners, and you own what you build, in production.
• The hard problems are open. Multi-agent systems reasoning through medicine, measured against physicians. Most of what breaks has not been written up anywhere yet. That is the job.

The role

The Clinical Lead will report to the Chief Medical Officer (CMO) and will own the day-to-day clinical methodology and quality across MedBAR's products and evaluation activities.

As Clinical Lead, you will:

• Own clinical reasoning, AI evaluation, and quality. Define and evaluate clinical reasoning across accuracy, safety, completeness, prioritization, and failure modes. Identify clinical risks and ensure rigorous quality and safety standards.
• Partner with Product and R&D. Work closely with engineers, AI researchers, data scientists, and product teams to translate clinical requirements into product capabilities and investigate unexpected system behavior.
• Drive clinical testing and continuous improvement. Oversee clinical testing, case review, and analysis of AI behavior, using findings and feedback to improve the product, evaluation methodology, and clinical workflows.
• Support healthcare partners and clients. Bring clinical expertise to discussions with customers, medical institutions, physicians, and strategic partners, and help translate their needs into product opportunities.

Must-haves

• Team player and collaborator. No ego. You enjoy building together and make the people around you better.
• Problem solver who likes the fun of it: the interaction, the debugging, the building.
• MD degree and active medical license.
• Clinical experience with a strong understanding of real-world clinical decision-making.
• Proven experience translating clinical needs into structured processes, methodologies, and digital products.
• Strong, proven ability to work cross-functionally with Product, Engineering, Data Science, and AI teams.
• Comfortable working in a fast-moving startup and balancing strategic thinking with hands-on execution.
• Genuine curiosity about AI and its impact on healthcare.

Nice-to-haves

• Deep experience with AI, LLMs, Generative AI, or AI evaluation.
• Experience with clinical simulation, simulation-based training, or standardized patients.
• Experience partnering with healthcare organizations or enterprise healthcare customers.
• Proven management or leadership experience, including managing, mentoring, or leading clinicians or other professional teams.