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Open Postdoctoral position, faculty mentor Sylvia Plevritis

Important Info

Faculty Sponsor (Last, First Name): 
Plevritis, Sylvia
Stanford Departments and Centers: 
Biomedical Data Sciences
Postdoc Appointment Term: 
This position is for two-years, full-time.
Appointment Start Date: 
August 10, 2023
Group or Departmental Website: 
https://med.stanford.edu/dbds/about.html
How to Submit Application Materials: 

Applicants should submit the required application materials to Sonoko Rooney, Executive Assistant to Dr. Plevritis, email: sonoko@stanford.edu with subject line “Population Outcomes Simulation Modeling.”

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 FY24 minimum is $71,650.

Postdoctoral Fellowship in Population Outcomes Simulation Modeling at Stanford University
 
Postdoctoral Fellowship in Population Outcomes Simulation Modeling is available in Dr. Sylvia Plevritis’ Lab located in the James H. Clark Center at Stanford University. The fellowship will involve the development and application of computer simulation modeling to study the impact of alternative cancer screening and treatment strategies on cancer incidence and mortality rates in the US population and inform health policy. A major focus of the research will be focused on simulating the impact of breast and/or lung cancer screening guidelines and the impact of treatment on disease recurrence. 
 
This position is for two-years, full-time.
 
The ideal candidate is expected to work on-site 5-days per week and attend weekly lab meetings.
 

Required Qualifications: 
  • The ideal candidate should have a Ph.D. in a field related to simulation modeling (i.e. operations research, applied mathematics) or a field that involves training in statistical analysis of clinical data (i.e. biostatistics, health-outcomes research, epidemiology).
  • Experience in stochastic simulation modeling, Monte Carlo methods, parameter estimation, survival analysis and computer programming (R and Python) is critical.
  • Knowledge of cancer epidemiology, cancer screening and treatment trials and analysis of cancer registry data is a bonus.
  • Excellent verbal and written communication skills are necessary.
Required Application Materials: 
  • A cover letter
  • CV
  • 3 most recent 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.