Faculty Position at Stanford University School of Medicine

Join the Quantitative Sciences Unit (QSU) in the Department of Medicine’s Center for Biomedical Informatics Research at Stanford University School of Medicine. The primary appointment for this position will be in the Department of Pediatrics as an Assistant or Associate Professor in the Non-Tenure Research Line with a secondary appointment in the Department of Medicine.  Applicants should have a PhD in Biostatistics, Statistics, or related field, and an outstanding record doing team science and collaborative biostatistics. Areas of emphasis may include, but are not limited to child health, nephrology, endocrinology, pediatric medicine, oncology, cardiovascular medicine, preventive medicine and public health.

The major criterion for appointment for faculty in the Non-Tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists.

Faculty rank will be determined by the qualifications and experience of the successful candidate.

We expect the successful candidate to engage primarily in collaborative research and to develop an independent research agenda in the development of methods directly stemming from collaborative work.  Specifically, the candidate will help to build research infrastructure in the Department of Pediatrics, and will serve as the leading statistician on a number of studies initiated by investigators in Pediatrics, which will involve mentoring junior data scientists in team science as well as clinical and translational investigators in research methods.  The candidate is expected to identify and resolve methodological issues that arise in collaborative research, as an expectation is to develop a research program in methodological areas that will directly benefit the candidate’s collaborative research. The successful candidate will demonstrate evidence of potential to obtain peer reviewed research funding, excellence in collaborative biostatistics, teaching, and mentoring appropriate to the programmatic needs of the QSU.

Interested candidates should send a copy of their curriculum vitae, a brief letter outlining their interests and the names of three references to Dr. Manisha Desai, Search Committee Chair, c/o Vanessa Navarro: qsusearch@stanford.edu <mailto:qsusearch@stanford.edu>.

/Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions./