Important Info

Faculty Sponsor (Last, First Name): 
Ashley, Euan
Stanford Departments and Centers: 
Med: Cardiovascular Medicine
Postdoc Appointment Term: 
one year appointment
Appointment Start Date: 
As soon as possible
How to Submit Application Materials: 

Please email required application materials to both Dr Jack O’Sullivan (jackos@stanford.edu) and Dr Euan Ashley (deptmedchair@stanford.edu).  Also, cc Terra Coakley (tcoakley@stanford.edu

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: 
$80,000

The AshleyLab seeks a highly motivated and skilled postdoctoral researcher to lead multifaceted machine learning projects harnessing large-scale genomic, transcriptomic, proteomic, and imaging and clinical data. The researcher will have access to data from a unique combination of clinical trial registers (academic and industry), biobanks and real-world EHR data. 

Project themes will span enhanced risk prediction, clinical trial patient selection and optimization, and the use of omic data to reveal molecular etiology for therapeutic targets. The researcher will utilize clinical biostatistical analysis, genome wide association analysis, and machine learning approaches including deep learning-based frameworks. 

The researcher will have the opportunity to work in a highly collaborative environment committed to team science that will include other collaborating scientists (wet and dry), physicians, postdocs, technicians, and students.

Required Qualifications: 

Doctoral degree (PhD, MD, or equivalent) conferred by start date

Required Application Materials: 
  • Cover letter including statement of interest, research experience, and career goals (2 pages max)
  • Curriculum vitae
  • Contact information for 3 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.