Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health

Yale University: School of Public Health

Location

New Haven, CT

Open Date

Apr 24, 2026

Description

The Yale School of Public Health (YSPH), Data Science and Data Equity (DSDE) Initiative invites applications for a Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health. This is a teaching - and training - focused faculty appointment for an individual who will help advance DSDE’s educational mission by developing and delivering high-quality instruction in data science and artificial intelligence and its responsible application in public health research, practice, and policy. The home department within YSPH will be decided based on background of the applicant.

The successful candidate will contribute to YSPH’s growing efforts to prepare students to understand, evaluate, and apply AI methods in ways that are rigorous, ethical, and relevant to real-world public health contexts. The Senior Lecturer will develop and teach courses on AI in Public Health and help build institutional capacity through workshops, short courses, summer programs, certificate programs, and other educational programming and offerings for students, faculty, and staff.

This faculty member will work collaboratively with colleagues across YSPH and Yale to strengthen teaching and training at the intersection of AI, data science, and public health. The ideal candidate will bring strong applied expertise, a record of exceptional teaching and educational leadership, and the ability to connect emerging AI methods and tools with the needs of public health learners and practitioners.

Senior Lecturer Expectations

In keeping with Yale’s expectations for Senior Lecturers, the successful candidate will demonstrate:

• Superior teaching that effectively brings practice into the classroom in a way that is linked to a rigorous body of knowledge.
• Intensive engagement in the activities of the School, such that the YSPH position is the faculty member’s primary career focus.
• Hands-on coding and visualization expertise in R and Python augmented by new AI capabilities to support an applied researcher/student with cutting-edge use of data science and AI.
• Through teaching and engagement, the provision of experience and expertise that the School views as essential but otherwise lacks in the area of AI in Public Health.
• Serve as an academic lead for the launch of certificate programs in data science and AI in public health.

Qualifications

• A graduate degree in a relevant field such as public health, biostatistics, epidemiology, data science, computer science, informatics, mathematics, health services research, health policy, or a related discipline.
• Demonstrated expertise in AI methods and their applications in public health or closely related domains.
• Demonstrated experience with coding in R and Python.
• Evidence of exceptional teaching ability and educational leadership, such as prior instruction, curriculum development, training leadership, workshop facilitation, or comparable contributions.
• Demonstrated ability to teach technical concepts clearly to learners with varied backgrounds.
• Commitment to an academic environment that values intellectual rigor, integrity, and inclusive excellence.

Preferred

• Doctoral degree in a relevant field.
• Prior experience teaching graduate students and/or professionals.
• Experience applying AI in public health practice settings such as government, health systems, nongovernmental organizations, implementation settings, industry, or research environments.
• Experience teaching or developing content on responsible AI, including topics such as ethics, fairness, transparency, governance, privacy, and evaluation.
• Experience with generative AI, large language models, or related computational tools, especially in ways that support teaching, training, or applied public health problem-solving.
• A record of 5 or more years of exceptional teaching and educational leadership consistent with Senior Lecturer consideration.

Application Instructions

Yale University and the Yale School of Public Health are committed to excellence. We welcome applications from candidates who will contribute to the academic vitality of YSPH and to the education of public health leaders prepared to use AI responsibly and effectively for population health impact.

Appointment terms, start date, and compensation are competitive and commensurate with qualifications and experience.

Applicants should submit:

1. A cover letter describing interest in the position and relevant experience in teaching data science and AI in Public Health.
2. Curriculum vitae.
3. A teaching statement that describes the applicant’s approach to instruction, inclusive teaching, and integration of applied practice with scholarly rigor.
4. Sample syllabi or course/workshop materials, if available (including an AI use policy).
5. Teaching evaluations, if available.
6. Names and contact information for three references.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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