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Open Postdoctoral position, faculty mentor Shoa Clarke

Important Info

Faculty Sponsor (Last, First Name): 
Clarke, Shoa
Stanford Departments and Centers: 
Med: Cardiovascular Medicine
Med: Prevention Research Cntr
Postdoc Appointment Term: 
2+ years. The initial appointment is for 12 months with the opportunity to renew each year pending satisfactory progress and training/career goals
Appointment Start Date: 
Negotiable
How to Submit Application Materials: 
Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$75,000-$80,000

The Clarke Lab is seeking postdoctoral scholars to lead cutting-edge research in cardiovascular disease genetics, epidemiology, and bioinformatics. Highly qualified applicants will have a proven foundation in the curation and analysis of large datasets. Applicants who demonstrate readiness to define and lead new research projects are highly desirable. Primary sources of data include biobanks (All of Us, UK Biobank, and MVP), TOPMed, dbGap, and the Stanford clinical research database. We offer close mentorship in a small lab environment along with opportunities for local, national, and international collaborations. Research projects and career developmment will be tailored to each scholar and their specific goals and interests.     

Potential areas or research include:
1. Whole-genome sequencing data and coronary artery disease associations in diverse and admixed populations
2. Methods for integrating clinical and genetic risk assessment
3. Applications of deep learning for large-scale analysis of medical images
4. Analysing mulit-omics data to delineate mechanisms of atherosclerosis

Required Qualifications: 
  • Doctoral degree with training or research experience in data science, epidemiology, or population genetics
  • Strong coding skills for the data sciences (R, python, etc)
  • Excellent English writing and speaking skills
     
Required Application Materials: 
  • CV
  • Brief description of programming skills and experience
  • Contact information for at least 2 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.