Telepatia AI is a healthtech company on a mission to transform healthcare in Latin America and beyond. Born at Stanford and built by doctors for doctors, our platform introduces AI Healthcare Employees that work seamlessly within clinical workflows: transcribing consultations in real time, generating structured medical records, offering evidence-based decision support, and integrating into any current health system—all without disrupting the physician's workflow.
Already adopted by thousands of doctors and leading hospitals across the region, Telepatia has demonstrated measurable impact: lowering cognitive load, improving patient experience, and increasing adherence to clinical protocols.
Our vision is bold: to empower healthcare professionals with scalable, trustworthy intelligence and pursue nothing less than the first Nobel Prize in Medicine for Latin America since 1984—with an AI Doctor.
As a Clinical AI Scientist, you will bridge the gap between medical practice and technology, collaborating with product, engineering, and deployment teams to create intelligent healthcare solutions that doctors love and trust.
Partner with engineers to validate and fine-tune models using real clinical data from across Latin America.




Run field pilots with doctors in hospitals and clinics, gathering direct feedback to refine AI products and ensure medical accuracy.
Work closely with the Medicine team to adapt protocols, note templates, and recommendations to Mexican health regulation (GPC, NOMs) and local practice.
Participate in training, onboarding, and support for early adopters.
Communicate key clinical insights to product, engineering, and commercial teams.
Interest or experience in AI, data science, medical informatics, or digital health strongly preferred.
Analytical skills: ability to interpret clinical data and impact metrics.
Spanish native, English fluent (able to work with technical documentation and international teams).
Research or QA experience in clinical data sets, medical AI, EMRs, or digital health products.
Familiarity with Mexican health data privacy and regulation (NOM-004, NOM-024, LFPDPPP).
Variable compensation tied to project success and adoption milestones.
Direct mentorship from integral clinical, product, and engineering leaders.
Career growth: potential to move into medical leadership, data science, or clinical product roles as Telepatia grows.

📌 Scientist (Ciudad de México)
🏢 Nodi
📍 Ciudad de México