Clinical AI Scientist

The Aghaeepour Lab at Stanford University builds and deploys machine learning on the interface of medicine and biology, where the clinical stakes are highest: the operating rooms, ICUs, and NICUs. Our work spans clinical foundation models, surgery/anesthesia, neonatal and critical-care decision support, and wearable devices, and multiomics analysis, aimed squarely at the bedside.

We are hiring a physician-scientist with high energy and a strong grasp of modern AI to help design and evaluate clinical AI inside a \~40-person research team. You will design translational studies for AI/ML solutions to real clinical problems, and help build the collaborations and grants that carry them forward. For the right candidate, this can lead to a long-term, career-track staff/senior scientist position.

What you'll do:

• Help design translational studies that bring AI/ML solutions to real-world clinical problems across the ICU, NICU, and operating room, from framing the clinical question to defining how a model would be deployed and used at the bedside.
• Design clinical studies that evaluate those models, including prospective and real-world implementation studies.
• Lead data labeling and clinical annotation efforts, applying clinical judgment to build the high-quality labeled datasets that model development and evaluation depend on.
• Design highly collaborative projects and the grant applications that fund them, and represent the lab in team-science meetings with external collaborators.
• Advise trainees on the clinical relevance and translational framing of their projects.
• Help coordinate the lab's project portfolio and mentorship alongside the PI.

Who you are:

• MD or equivalent medical degree (MBBS or international equivalent) with clinical training. US medical licensure is not required; this role applies clinical judgment to research, not to patient care.
• High-energy and up to date on modern AI/ML, with real excitement about applying it to clinical problems.
• Familiarity with AI models and how they are evaluated is required. Hands-on experience building AI models is a plus, but not required.
• A strong communicator who can move fluidly between clinical and computational worlds.
• Open to candidates of any nationality; we sponsor and support your visa and green card.

What we offer:

• A long-term, career-track staff position, not a time-limited training appointment.
• Visa sponsorship (cap-exempt H-1B) can be offered.
• \~15% protected time for your own scholarly visibility: co-authorships, named roles on grants, and invited perspectives.
• Work that reaches the bedside, in high-acuity settings where it matters most.
• Clinical training/experience (regardless of specialty) is mandatory. Apply with a CV and a brief note on fit (single PDF) via the Google Form: https://forms.gle/B2JMJvMhNnTeL9Xu9