Open Postdoctoral position, faculty mentor Marc Lipsitch

Open Postdoctoral position, faculty mentor Marc Lipsitch Stanford University, United States about 10 hours ago

Location:

Stanford, CALIFORNIA Posted on Mon, 06/08/2026 - 16:45 Important Info Faculty Sponsor First name: Marc

Faculty Sponsor Last Name:

Lipsitch Other Mentor(s) if

Applicable:

Mathew Kiang

Stanford Departments and Centers:

Medicine, Infectious Diseases & Geographic Medicine Biology FSI Center for International Security and Cooperation (CISAC)

Postdoc Appointment Term:

2 years

Appointment Start Date:

October 1, 2026

Group or Departmental :

profiles.stanford/marc-lipsitch (link is external) How to

Submit Application Materials:

email Marc Lipsitch (lipsitchstanford (link sends e-mail) ) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Opening for Postdoctoral Fellow in

Infectious Disease Modeling and Causal Inference:

Impact of Nonpharmaceutical Interventions on

COVID-19

outcomes We are recruiting one or two postdoctoral scholars to work on a project at the intersection of causal inference, behavior, and infectious disease modeling. The primary advisor is Prof. Marc Lipsitch in the Division of Infectious Diseases and Geographic Medicine, Stanford School of Medicine, with co-advising by Dr. Mathew Kiang, Assistant Professor of Epidemiology. The project involves developing a rigorous causal framework for assessing the impact of nonpharmaceutical interventions with a well-defined counterfactual using data at the state and county levels from the United States to the framework and compare its results to those of recently published analyses assessing the impact of aggregation, outcome measure, and other analytic choices on results developing and implementing a computational model to simulate transmission dynamics of

COVID-19

under various nonpharmaceutical interventions with defined effects to assess the identifiability of these effects using various data-analytic approaches. The fellows will join a team including experienced infectious disease modelers; hence we are primarily searching for (1) an individual experienced in causal inference, with interest and ideally experience in inference about population-level interventions and/or the challenges of interference; (2) an individual with interest and ideally experience in modeling behavior change as a function of policy and external events. This will be an opportunity for the fellow to do consequential work within their own field and to work closely with others with complementary skills and thereby cross-train in fields other than the fellow's own. Interested candidates should send a statement of research interests (broadly and in the context of this project), CV, and names and contact info for 3 referees to Marc Lipsitch (lipsitchstanford (link sends e-mail) )

Required Qualifications:

PhD in a relevant field is required; relevant fields include but are not limited to epidemiology, statistics, biostatistics, machine learning, data science, or other quantitative fields.

Required Application Materials:

1.statement of research interests (broadly and in the context of this project). 2. CV 3. names and contact info for 3 referees 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.