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Open Postdoctoral position, faculty mentor Henry Lee

Important Info

Faculty Sponsor (Last, First Name): 
Lee, Henry
Stanford Departments and Centers: 
Pediatrics
Postdoc Appointment Term: 
One year, with option to extend by mutual agreement.
Appointment Start Date: 
September 1, 2020 (negotiable)
How to Submit Application Materials: 

Please email materials to Ms. Lillian Sie <lillsie@stanford.edu>. Applications received before September 1, 2020 will be given priority, but applications will be accepted until the position is filled. Anticipated start date is early fall 2020 but is flexible.

We are seeking an individual for a postdoctoral fellowship in perinatal / neonatal health who has training and experience in epidemiology or a related field (e.g. PhD or MD with relevant research training). The primary mentor is Dr. Henry C. Lee, Associate Professor of Pediatrics (Neonatology), and Chief Medical Officer of the California Perinatal Quality Care Collaborative (CPQCC) . The CPQCC and its sister organization, the California Maternal Quality Care Collaborative (CMQCC) have their data centers and leadership based at the division of neonatology at Stanford, and have active research programs in perinatal health. The ability to link maternal, neonatal, and long-term follow-up data allow for opportunities to conduct large population-based epidemiologic studies, health services research, and work in reducing disparities. The emphasis of this fellowship will be on the population of extremely preterm birth, including prediction / modeling of outcomes for periviable infants, and development of tools for counseling families affected by extremely preterm birth. The postdoctoral fellow will collaborate with epidemiologists, biostatisticians, and clinician-scientists, with opportunities for mentorship and collaborative research on related topics.

Required Qualifications: 
  • The ideal candidate will be interested in an academic research career conducting epidemiologic research related to maternal and infant health outcomes
  • The candidate will be familiar with statistical soft ware, (e.g., SAS, R)
  • Have strong training in quantitative epidemiologic methods
  • Have strong written and interpersonal communication skills
  • Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the fellowship
Required Application Materials: 

1) Curriculum vitae
2) a cover letter describing research interests to be pursued during training
3) one lead-author published or unpublished manuscript
4) names of 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.