Open Postdoctoral position, faculty mentor Shriti Raj

Posted on Fri, 04/24/2026 - 10:04

Important Info

Faculty Sponsor First name: 
Shriti
Faculty Sponsor Last Name: 
Raj
Stanford Departments and Centers: 
Institute for Human-Centered Artificial Intelligence (HAI)
Medicine, Biomedical Informatics Research (BMIR)
Postdoc Appointment Term: 
1 year with potential to renew
Appointment Start Date: 
June 2026
Group or Departmental Website: 
https://www.shritiraj.com/portfolio/
https://computationalmedicine.stanford.edu/
How to Submit Application Materials: 

CV, cover letter and publication examples to be submitted using this google form: https://forms.gle/6cx6Q9MnsBk1duvg7

2 letters of recommendation to be emailed to shritir@stanford.edu 

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$76,383 - $130,000

Position Overview

We are seeking a Postdoctoral Researcher in Human-Centered Artificial Intelligence (AI) in Healthcare to join Dr. Shriti Raj’s lab. The successful candidate will contribute to research on the design, development, and evaluation of AI-enabled systems in healthcare settings. 

You will drive research on clinician–AI and patient–AI interaction, focusing on how systems such as LLM-based tools, decision support systems, and adaptive health technologies are integrated into clinical workflows and/or patient’s lives. The work emphasizes both lab-based studies and field deployments for evaluation in the wild. This position expects experience using mixed methods for research including user-centered design and experience in software development —you will be expected to bridge design, empirical research, and system-building. You will contribute to ongoing projects on clinician-LLM interaction and personal health informatics and will have opportunities to develop independent research directions.

Key Responsibilities

  • Lead and contribute to research on human-AI interaction in healthcare, including clinician-facing and patient-facing systems

  • Design and conduct user-centered studies (e.g., interviews, fieldwork, participatory design, usability evaluations) in clinical and real-world health contexts

  • Develop and/or evaluate AI-driven systems (e.g., LLM-based tools, decision support systems, adaptive interventions)

  • Analyze qualitative and/or quantitative data to generate actionable insights for system design

  • Collaborate with patients, clinicians, health systems, designers, and AI researchers

  • Publish in top venues (e.g., CHI, CSCW, UIST, AMIA, JAMIA, Nature Digital Medicine)

  • Contribute to grant writing and interdisciplinary project development

Required Qualifications: 

  • PhD in HCI, Computer Science, Information Science, Biomedical Informatics, Public Health, or a related field

  • Strong grounding in human-centered research methods (qualitative, mixed-methods, or experimental design)

  • Demonstrated experience with healthcare contexts (e.g., clinical environments, patient populations, digital health systems)

  • Evidence of research productivity (e.g., publications in HCI, health informatics, or related venues)

  • Ability to work across disciplines and communicate with both technical and clinical stakeholders

    Preferred Qualifications:

  • Experience with AI/ML systems in healthcare, including large language models or decision support tools

  • Familiarity with clinical workflows, EHR systems, or healthcare delivery settings

  • Experience conducting research with clinicians, patients, or care teams

  • Experience deploying or evaluating systems in real-world or clinical settings

  • Interest in translational research and impact in healthcare systems

Required Application Materials: 

Please submit the following materials here: https://forms.gle/6cx6Q9MnsBk1duvg7

  • CV

  • Cover letter describing research interests and fit

  • 1–2 representative publications

  • 2 letters of recommendation directly sent to shritir@stanford.edu 

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.