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Open Postdoctoral position, faculty mentor Ramesh Johari

Important Info

Faculty Sponsor (Last, First Name): 
Johari, Ramesh
Other Mentor(s) if Applicable: 
Emily B. Fox; David Scheinker; Vasilis Syrgkanis
Stanford Departments and Centers: 
Mgmt Sci & Engineering
Computer Science
Ped: Endocrinology
Postdoc Appointment Term: 
Starting Fall 2024, with negotiable end date (at least June 2025)
Appointment Start Date: 
September 2024
How to Submit Application Materials: 

Please apply by filling out the Google Form here and include all documents listed in the Required Application Materials section:

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: 

We are seeking a postdoctoral researcher with a focus on developing statistical, machine learning, and causal inferential methods with applications in health care. The postdoc will collaborate on projects of mutual interest with Emily Fox, Professor of Computer Science and Statistics; Ramesh Johari, Professor of Management Science and Engineering; David Scheinker, Clinical Professor of Pediatric Endocrinology and Director of Systems Utilization Research for Stanford Medicine (SURF); and Vasilis Syrgkanis, Assistant Professor of  Management Science and Engineering.
Areas of research focus may include:

  • Physiologically-grounded modeling, forecasting, and counterfactual prediction for glucose dynamics
  • Estimation of treatment effects of policies for care management
  • Policy optimization and personalization of policies for care management
  • Clinic-level resource allocation
  • Design of clinician-facing dashboards and patient-facing messaging to support care

Our unique collaboration between engineers, statisticians, computer scientists, and clinicians provides a rare, exciting opportunity to develop methods that will directly contribute to improvements in patient care.  The postdoc will become part of a research team supporting this work that includes clinicians at Stanford Children’s Health and Children’s Mercy Hospital at Kansas City.  Part of the effort will include translation of research findings to clinical practice as appropriate.
The postdoc will be expected to help define the research questions of interest, and lead both empirical and methodological research efforts towards publication in concert with students and clinical collaborators.  Teaching is not required as part of this position.

Required Qualifications: 
  • Strong mathematical background, including expertise in one or more of the following areas machine learning, statistics, and causal inference
  • Ph.D. (or expected completion by Fall 2024) in computer science, statistics, operations research, or related fields
  • Prior experience working with data, including expertise with computational methods and appropriate software platforms
  • An interest in translational research with applications in health care
Required Application Materials: 
  • A description of why you are a good fit for the position
  • Current CV
  • One representative publication or working paper
  • Contact information for two references


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.