Yale University

Description

The School of Public Health at Yale University (YSPH) is seeking applicants at the rank of Assistant, Associate or Full Professor on the Tenure Track for the new schoolwide Public Health Data Science and Data Equity Initiative. The home department within YSPH will be decided based on the candidate’s expertise and background. We are particularly interested in applicants with demonstrated records of conducting cutting-edge research in public health data science. Areas of interest include but are not limited to data science methods in electronic medical records, causal inference, digital health, real-world healthcare data, climate change, infectious diseases, public health genetics/genomics, healthcare policy, data science for global health, large-scale data integration, machine learning (ML) and artificial intelligence (AI), fairness, ethics in AI/ML and high-performance statistical computing.

As one of the first schools of public health in the nation, YSPH has a rich history of being at the forefront of innovative research and education. YSPH serves local, national, and international communities through its high impact interdisciplinary research and training of a diverse group of master’s and doctoral students. We believe that the future of public health will be defined by four pillars: inclusivity, innovation and entrepreneurship, communication, and data-driven leadership.

Responsibilities

The successful candidate will be expected to:

• Develop and maintain an active, externally funded, independent research program focused on development of innovative data science methodology in a specific/broad area of public health.
• Take a leading role in further developing methodological research in data science and engage in collaborative research.
• Work to strengthen equity and fairness in public health data science.
• Publish and present research results in peer-reviewed professional journals and at scientific conferences, garnering national and international visibility.
• Contribute to the data science education program through teaching at least one course at the masters/doctoral level each year and mentoring students.
• Provide service to the department, school, and university through committee work, participation in events, etc.

For additional information about YSPH please visit http://publichealth.yale.edu/.

Qualifications

• A doctoral degree in Biostatistics, Statistics, Epidemiology, Computer Science, Data Science, Informatics, or a related field by the start of appointment. We envision that along with being rooted in traditional quantitative disciplines, a non-traditional data science scholar with a quantitative degree and expertise but focusing on a substantive area such as environmental exposure modeling or healthcare policy will be well-suited for this opening. As mentioned, the home department (within YSPH) will be chosen based on the best fit for the background and expertise of the candidate.
• Excellent oral and written communication skills and the ability to work effectively with a wide range of constituencies in a complex and diverse community.
• 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.

For additional information about YSPH please visit http://publichealth.yale.edu/.

Application Instructions

Review of applications will begin immediately and will continue until a successful candidate is identified.

Applicants are asked to upload (1) a cover letter that addresses research/professional accomplishments/ interests, (2) curriculum vitae, (3) a teaching statement that includes teaching philosophy and experience, (4) a statement of research/professional accomplishments and interests, (5) the names and contact information for three references.

Questions regarding this position should be directed to: admin.dsdeysph@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.