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 anlyses, and apply them to relevant and large datasets.
Benefit and Compensation Information:
We offer a competitive salary and benefits package. Compensation will be commensurate with experience.
Qualifications
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.
Applications will be accepted until the positions are filled.
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Equal Employment Opportunity Statement
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.