Please submit application material to Dr. Ann Hsing, PhD; PI, Stanford WELL for Life; firstname.lastname@example.org
We are seeking a highly-motivated candidate with a background in epidemiology and quantitative science for a postdoctoral position with the Stanford WELL for Life Study (WELL) within Stanford Prevention Research Center (SPRC) at Stanford Medicine. Stanford WELL focuses on using psychometric, biomarker, molecular, and biosensing metric data to identify determinants of well-being and the relationships with other chronic conditions, including stress, sleep, inflammation, mental health, and cardiometabolic conditions. We have a particular interest in using heart rate variability, omics, imaging, and biometric data to study well-being, mental health, healthy aging, and lifespan. WELL is an ongoing international cohort with over 32,000 participants enrolled from five countries with over 300,000 collected biospecimens and extensive epidemiologic data. For more information about the WELL Study, please visit: https://med.stanford.edu/wellforlife.html
The goals for the postdoctoral fellow are to build and successfully execute exciting, independent projects within WELL’s research program through active collaboration with the PI. Additionally, the WELL PI and faculty will provide mentorship on writing papers, submitting grant applications, presenting results at conferences, and preparing for a future career in either an academic or nonacademic setting. To this end, Stanford University provides an extensive postdoctoral training program to provide guidance in professional development, including workshops focused on grant writing, career development, networking and job search within and outside of academia.
- Ph.D. and/or M.D.
All applicants MUST meet these minimum qualifications to be considered for the position.
- Ph.D. in epidemiology, behavioral sciences, or psychology
- Strong quantitative and statistical skills, including regression analysis, mixed-effect modeling, and longitudinal data analysis
- Knowledge and experience in qualitative research is a plus but not required
- Experience with big data such as omics, GIS, GPS, and imaging data are a plus
- Excellent computational, organizational, writing, and communication skills are required
- Fluency in both spoken and written English is required as the scientist will be writing and presenting his or her research
- Ability to prepare manuscripts, grant proposals, and scientific meeting presentations
- Accurate and precise record-keeping abilities as well as prioritization
- Ability to work both collaboratively and independently with highly interactive research groups, and with minimum supervision
- Strong work ethic and high motivation
- Proven track record with publications in international peer reviewed journals
- Knowledge and experience with psychology, fMRI, and analyzing brain imaging and microbiome data is a strong plus
- Cover letter
- Names and email of 3 references