Postdoctoral positions - Reproductive Health and the Environment (PRHE) - University of California, San Francisco

CLOSING DATE: November 30, 2018


JOB #: 13226

POSTED: October 31, 2018


The ideal candidate will have a strong background in epidemiology, biostatistics, computational biology, environmental health, or bio- and/or cheminformatics, and evidence of peer-reviewed publications. Excellent problem-solving skills, creative and interdisciplinary thinking, and the ability to learn and work with multiple software tools are required. Applicants must possess excellent written and oral communication skills and be fluent in both spoken and written English.

The postdoc will join an interdisciplinary group of basic scientists, epidemiologists, clinicians, and biostatisticians at UCSF, UC Berkeley and other academic institutions. S/he will also interact with clinicians, governmental decision-makers and the staff of non-governmental organizations in the field of environmental and public health to interface with PRHE’s outstanding research translation work. The Postdoctoral Scientist will be advised by and work closely with Drs. Tracey Woodruff, Rachel Morello-Frosch, and Marina Sirota. The initial appointment is for one year, with an opportunity for an extension after successful completion of the first year. Start date is flexible, but preferable by the end of 2018 or early 2019.  

PRHE is in the Department of Ob/Gyn in the School of Medicine at UCSF. UCSF is a premier medical sciences institution dedicated to promoting health worldwide through excellence in research, teaching and patient care. The School of Medicine is ranked #1 nationwide in NIH support, and UCSF is ranked annually as one of the top hospitals in the US. UCSF is committed to and offers excellent services for career training of future scientists.  


The successful candidate must have:

  • PhD in epidemiology, biostatistics, computational biology, environmental health science, risk assessment, cheminformatics, or other environmental health related field.
  • Strong training in biostatistics and epidemiological methods.
  • Strong programming skills in R, Stata and/or SAS.
  • Experience with mass spectrometry/metabolomics data processing is a plus.
  • Excellent oral and written communication skills and track record of peer-reviewed publications.
How to Apply:

 Direct questions or application materials to

Interested candidates should submit the following application materials to  

a cover letter that includes a statement of research experience and interests

a curriculum vitae

pdf copies of a recent publication or writing sample

contact information of three references


The University of California is an equal opportunity, affirmative action employer. More information on PRHE can be found here: 



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