You trained as a physician. You understand what it means to look at a patient, interpret labs, weigh differential diagnoses, and make a call under uncertainty. At some point, you realized you could have more impact outside the exam and you made the move. Now you want to apply both sides: medical depth and commercial sharpness.

dehaze AI identifies chronic disease risks on already existing health data. Thanks to us, our customers, fully integrated health insurers, save ~10% of their yearly health budget. In an industry with relatively low margins, a real game changer.

You are the medical authority inside dehaze. But this is not a clinical advisory board seat. You are embedded in the team, working daily with the CEO, CTO, and Chief Scientific Officer. You validate our AI outputs, shape our clinical evidence strategy, build academic partnerships, and ensure that what we take to market is medically credible. You bring the physician’s judgment that no engineer or data scientist can replicate combined with the business and analytical thinking you’ve developed since leaving practice.

Tasks

• Be the clinical gatekeeper: When our AI flags a chronic disease risk, you determine whether the prediction is clinically plausible. You evaluate outputs against your medical training and real-world experience and not just statistical metrics. If it doesn’t make medical sense, it doesn’t ship.
• Validate our data normalization: Our pipelines transform messy health data into patient trajectories. You review whether diagnoses, lab values, medications, and procedures retain their medical meaning after transformation. If something is lost or distorted, you catch it.
• Build and curate golden datasets: You create and maintain reference datasets with clinically validated ground truth to benchmark every model iteration.
• Represent dehaze’s clinical credibility to customers: When we sit across from a chief medical officer or medical director at a health network, you are the person who conveys the medical validity of our solution. You speak their language because you’ve been in their world.
• Build the evidence strategy and academic partnerships: You design validation studies, define outcome measures, and establish relationships with university hospitals and research groups to co-validate our approach and publish findings.
• Shape the clinical roadmap: You advise our product team on medical requirements for priorization and how to sequence our clinical development from both a medical impact and a business value perspective.
• Champion patient safety: Every output that touches a patient must be safe. You define the guardrails, flag edge cases, and ensure we never compromise clinical integrity for speed.

Requirements

• Physician first. You practiced medicine for at least 2 years. You’ve treated patients, interpreted labs, made diagnostic calls under pressure. This clinical foundation is non-negotiable, it’s the reason you can do what data scientists cannot.
• Then you moved on. You left clinical practice for the business or the software development world. Consulting, private equity, health data company or similar. You understand market dynamics and how healthcare decisions are made at the organizational level and not just at the bedside.
• Analytical and data-literate. You can work with datasets, interpret model outputs, and evaluate whether results make clinical sense. You don’t need to write code, but you’re comfortable around data and you understand enough about AI and machine learning to have real conversations with engineers about what a model is doing and why.
• Commercially sharp. You think about clinical value and business value in the same sentence. You can articulate why a clinical insight matters to an insurer’s bottom line. You’ve operated in environments where medical expertise had to translate into revenue, cost savings, or investment decisions.
• Rigorous and opinionated. You have strong views on what is clinically valid and you defend them. You push back when something doesn’t meet the medical standard, regardless of who is asking. Your credibility comes from your training and your willingness to use it.
• Startup-ready. You are comfortable with ambiguity, speed, and building from scratch. You want to define the playbook, not follow one. You’re choosing a smaller, faster, higher-impact environment over a comfortable corporate role.
• Languages: Excellent English is required. German and Portuguese are a strong plus.

NICE-TO-HAVES

• Experience designing or overseeing clinical validation studies
• Familiarity with regulatory frameworks for medical AI (FDA, MdR, ANVISA)
• Track record of academic publications in clinical research or medical AI
• Understanding of health data standards (ICD-10, SNOMED CT, FHIR) from a clinical perspectiveExperience working with health insurers or integrated care networks

Benefits

• Serial founder team: Work directly alongside serial healthtech entrepreneurs and one of Europe’s leading professors in medical AI. The founding team has built and exited 3 health startups and operated in hyperscaler environments.
• Technological frontier: Our proprietary AI builds on a novel architecture unlocking already existing health data. You’ll be at the forefront of technology that fundamentally changes how chronic diseases are identified.
• Intense speed and impact: We measure quality of life improvements and cost savings. We plan to 10x our ARR in the first year.
• Global scope, real ownership: Technology and science are built in Germany. We entered the market in Brazil and are expanding to the US and EU. Your decisions will impact how we scale across markets, regulatory environments, and cultures.
• Growth trajectory: This role is designed to grow with the company that is scaling internationally. Competitive salary plus equity participation (VSOP) because we want you to build this with us, not just work for us.

No cover letter templates. No generic applications. If you can’t articulate why this specific role at this specific company in 5 sentences, we’re probably not the right fit.

ABOUT DEHAZE

dehaze is building proprietary AI infrastructure to identify risks of chronic diseases earlier and more precisely on already existing health data. We save integrated health insurance companies 10% of their health spend and help patients live a healthier life.

Our proprietary technology works where others can’t: on unharmonized already existing health data. Founded by 3 serial entrepreneurs, we are backed by institutional investors and operate across Brazil, with expansion into the US and Europe planned.

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