Assistant, Associate or Full Professor, Public Health Data Science and Data Equity

The University at Albany, State University of New York; New Haven (CT); On-site; USD 80,000 - 150,000; Full time

Job summary

The Yale School of Public Health is seeking candidates for a tenure-track professorship focused on public health data science and equity. The position involves substantial research responsibilities, teaching at the master's and doctoral levels, and a commitment to interdisciplinary collaboration and innovative methodologies in public health research.

Qualifications

• Doctoral degree required by start of appointment.
• Excellent communication and collaboration skills.
• Demonstrated research in public health data science.

Responsibilities

• Develop and maintain an independent research program.
• Teach at least one course annually and mentor students.
• Publish research findings in peer-reviewed journals.

Skills

Statistical computing

Large-scale data management

Communication

Education

Doctoral degree in Biostatistics, Statistics, Epidemiology, Computer Science, Data Science, or related field

Tools

R

Python

C/C++

Job 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 as well.
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.

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.
To be considered at the associate or full professor level, candidates should have a progressively more
significant volume of past and current extramurally funded research programs in data science/data equity, as
well as a scholarly record that meets the School's standards for the rank.
To apply
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.

Please apply via the following link: http://apply.interfolio.com/166678

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

Questions regarding this position should be directed to: [e-mail]

Yale School of Public Health 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. 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, race, color, national or ethnic origin,
religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.