Important Info
Application materials may be emailed to Dr. Clarke (shoa@stanford.edu). Due to the volume of submissions, only those applicants who pass an initial screening for the prerequesite technical skills will receive a response.
The Clarke Lab is seeking to hire a postdoctoral fellow to to lead cutting-edge research in cardiovascular precision medicine. We are a small but highly motivated and diverse group of research scientists with shared expertise spanning clinical cardiology, prevention, molecular epidemiology, nutrition, multi-omics, and data science. We are especially focused on understanding the interplay between genetics, lifestyle, environment, and clinical factors on cardiovascular disease risk. Our work incorporates biobanks (e.g., All of Us, UK Biobank, and Million Veteran Program), traditional cohorts (e.g., Women’s Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer close mentorship with opportunities for local, national, and international collaborations. Research projects and career development will be tailored to each scholar and their specific goals and interests.
Qualified applicants must have research training in epidemiology, population genetics, and/or computer science, and those with experience analyzing biobank data and/or expertise in machine learning will be prioritized. Candidates who demonstrate readiness to define and lead new research projects are highly desirable. Postdoctoral fellows who join the lab will have the opportunity to join existing projects but will be expected to develop an independent direction of research.
- Doctoral degree with training or research experience in epidemiology, population genetics, and/or computer science
- Strong coding skills for the data sciences (R, python, etc)
- Excellent English writing and speaking skills
- CV
- Contact information for at least 2 references