Associate Research Scientist in Biostatistics, Data Science Data Equity

Description

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

Qualifications

Qualifications:

●      Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science or a related field. The expected start of appointment is as soon as possible.

●      Demonstrated track record of research and publication.

●      Excellent oral and written communication skills and the ability to work effectively with a wide range of constituencies in a diverse interdisciplinary team.

●      Proficiency with statistical computing (e.g., R, Python or C/C++).

●      Interest and expertise in large-scale data management, linkage and data integration.

●      Demonstrated capacity to work both collaboratively and independently.

●      Ability to handle complex topics and explain them well to practitioners and non-quantitative audience.

●      Strong strategic, analytical, and problem-solving skills.

●      Strong interpersonal, project leadership, and management skills to facilitate timely and professional deliverables.

●      Previous mentoring and teaching experiences are desirable but not required.

●      A minimum of 2-5 years of experience in a research statistician, collaborative quantitative data scientist role is preferred.

Application Instructions

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.

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.