Postdoctoral Positions in Statistics, Genomics and Imaging Data

Postdoctoral positions in statistics, genomics and imaging data are available in the Collaborative Center for Statistics in Science directed by Heping Zhang at the Yale School of Public Health. 

Position details:

Successful candidates will work with Professor Zhang on projects to develop statistical theory, methods, and software related to genomic and imaging data analyses, and apply them to relevant and large datasets.

Qualifications and skills:

  1. PhD in statistics, biostatistics, computer science, or related quantitative disciplines
  2. Excellent programming skills (e.g. R, Python, C/C++, Julia) and familiarity with scientific computing workflows (e.g. TeX/LaTeX)
  3. Excellent skills in applied mathematics, probability, statistics. Prior knowledge in genomics or imaging data a plus.
  4. Outstanding communication skills and ability to work in a team environment.

Application instructions:

Please submit a cover letter explaining your qualifications and interests, along with a current CV and contact information for three references online

Applications will be accepted until the positions are filled. For further information about our school, please visit our website.

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.