We are actively recruiting an Associate Research Scientist as part of the new schoolwide Public Health Data Science and Data Equity Initiative, with a primary appointment in the Department of Biostatistics.

The Associate Research Scientist will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics and Professor of Chronic Disease Epidemiology. The research involved will focus on analysis of electronic health records linked to biobanks, real-world healthcare data. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. Involvement in training and mentoring and helping to organize an undergraduate summer program in biostatistics and data science will be an integral part of the position. The position is for a one-year term that is renewable based on availability of resources, satisfactory performance and progress.

Responsibilities include:

?      Providing expert biostatistical/computational consultation and collaboration on study design, implementation, analysis and the preparation of protocols, grants, and manuscripts for projects related to real world healthcare data as part of the Public Health Data Science and Data Equity Initiative

?      Coding and visualization in R/Python

?      Planning, conducting and overseeing comprehensive statistical analysis of biobank data

?      Creating digital ecosystems that enables external linkage and harmonization across global biobanks

?      Publishing and presenting research results in peer-reviewed professional journals and at scientific conferences.

?      Developing tools and processes that enable seamless integration and analysis of multiple biobanks by community researchers

?      Helping with programs and educational initiatives related to public health data science

?      Engage in novel biostatistical research related to electronic health records, selection bias, missing data, causal inference and machine learning

Additional information on the Yale School of Public Health, the Department of Biostatistics, and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:

 About Us | Yale School Of Public Health

Biostatistics | Yale School of Public Health

Chronic Disease Epidemiology Department | Yale School of Public Health

Organization: Yale School of Public Health
Department: Biostatistics

Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Expected Start Date: As early as May 1, 2025 

To apply:

Applicants are asked to submit a (1) CV, (2) cover letter that addresses their specific interest in this position, (3) statement of research/professional accomplishments/interests and (4) the names and contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.

Questions regarding this position should be directed to:  matthew.schlager@yale.edu

About Yale University

Yale University is an American private Ivy League research university located in New Haven, Connecticut. Founded in 1701 in the Colony of Connecticut, the university is the third-oldest institution of higher education in the United States.

Connections working at Yale University