Scientist Python Jobs in Connecticut (NOW HIRING)

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
Expected Start Date: As early as May 1, 2025
Qualifications
Qualifications:
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science or a related field.
• 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
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
Equal Employment Opportunity Statement
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives.
Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex; sexual orientation; gender identity or expression; pregnancy, childbirth or related conditions; race; color; national or ethnic origin; religion; age; disability; protected veteran status, or other protected classes as set forth in federal and Connecticut law.
Professional Conduct Review for New Faculty Hires
The final candidate, upon acceptance of a contingent offer of employment/faculty appointment, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding (investigation, hearing, etc.) at previous institutions or employers, and may also be subject to a background screening. Candidates who materially misrepresent information on their resume or other application materials are ineligible for hire/appointment. Final candidates may also be required to sign a release to allow Yale to solicit information regarding any substantiated conduct violations from current and/or past employers.