Clinical Researcher

About MedINT

MedINT is a Tel Aviv-based health-tech company building the first human-in-the-loop clinical decision support platform for complex, multidisciplinary patient cases. Our AI system helps physicians managing complicated cases surface verified, patient-specific evidence they can inspect, question, and act on. We don't replace clinical judgment; we make sure it's never limited by incomplete evidence.

MedINT is on a mission to ensure that no patient's treatment is held back when the guidelines are not enough.

What's it like to work at MedINT?

We're a fast-moving team building at the intersection of medicine and AI, where clinical rigor and technical execution sit side by side. We move quickly, hold our work to a high bar of clinical accuracy, and want people who are motivated by seeing their expertise directly translate into a product used in real clinical decisions.

As we grow MedINT's AI product capabilities, we're looking for a talented Medical Researcher to join our Clinical Research team. This role is ideal for a clinician who enjoys the depth of medical literature research and wants to see that expertise put to work shaping the future of clinical decision-making.

What Will You Do?

As a member of the Clinical Research team, you will be a core contributor to development of our product, gather the evidence and contribute clinical knowledge that power our platform. In addition, you will create and verify high-quality research reports. Your responsibilities will include:

• Literature Research: Conduct in-depth literature reviews to answer complex, patient-specific clinical questions, drawing on primary research, guidelines, and other credible sources.
• Evidence Synthesis: Deliver clear, accurate, and timely research findings that clinicians and internal teams can rely on for decision-making.
• AI Product Support: Play a hands-on role in directing and evaluating the AI models that support clinicians' decision-making, including labelling, reviewing, and validating clinical data and model outputs against clear rubrics.
• Quality & Documentation: Help ensure findings are reproducible and defensible.
• Cross-Functional Collaboration: Work closely with a multidisciplinary team of medical experts and AI developers to close gaps between clinical need and product capability.

What Do You Need?

• Clinical Background: Medical Doctor (MD), M.Sc. in Medical Sciences or a related field, or Research Nurse.
• Research Experience: Experience in academic research and scientific writing.
• Clinical Experience: Hands-on clinical experience.
• Communication Skills: Strong ability to communicate respectfully and productively with colleagues across diverse roles in the company.
• Language: Full professional proficiency in Hebrew and English, written and verbal (additional languages are a plus).
• Work Style: Strong ability to both collaborate and work independently in a fast-paced, evolving environment.

Advantages

• Experience with data science, biostatistics, or working with structured/labelled datasets.
• Prior experience at a health-tech, digital health, or AI company.
• Familiarity with industry benchmarks, regulatory and good practice frameworks relevant to medical AI (e.g., FDA Good Machine Learning Practice, EU AI Act).