Yale School of Public Health – Senior Lecturer
Company NameYale School of Public Health
Position TitleSenior Lecturer
Company Information
At the Yale School of Public Health, we are at the forefront of transforming public health by linking science and society to tackle the most pressing health challenges of our time. As a fully independent school within Yale University, we harness interdisciplinary collaboration, cutting-edge research, and community-driven solutions to create systems-level innovations. Our bold vision—making public health foundational to thriving communities everywhere—drives us to educate the next generation of leaders who are equipped to address global and local health disparities. Through this work, we are advancing public health science, shaping policy, and fostering trust in the health systems of tomorrow. Together, we are not just imagining a healthier future—we are building it.
Duties and Responsibilities
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.
Responsibilities and Expectations
The Senior Lecturer will:
• Develop and teach 2-3 graduate courses per academic year in Data Science & AI in Public Health or closely related areas. Course topics may include machine learning for public health, Using AI for vibe coding, building agentic models, AI for surveillance and outbreak response, clinical and public health data science, evaluation and implementation of AI tools, algorithmic fairness, AI ethics and governance, and responsible use of generative AI in public health settings.
• Develop and refine course materials, syllabi, assignments, and applied learning activities that prepare students to use AI methods thoughtfully and effectively in public health research and practice.
• Hold office hours, hands on labs, mentor students, and provide timely and constructive feedback on their projects.
• Contribute to inclusive, rigorous, and student-centered learning environments.
• Collaborate with YSPH faculty and staff to ensure AI-related and AI-augmented teaching aligns with programmatic learning goals and broader school priorities.
• Collaborate with YSPH faculty and the Office of Education to develop and demonstrate the impact of integrating AI into existing courses.
• Develop and deliver workshops, short courses, and training sessions on AI tools, large language models, emerging computational methods, and responsible AI use for students, faculty, and staff.
• Help strengthen YSPH’s educational and training capacity in data science & AI by contributing to cross-school programming, practice-oriented learning opportunities, and other curricular or co-curricular initiatives.
• Bring applied public health practice into the classroom in a way that is linked to a rigorous body of knowledge and responsive to the evolving role of AI in population health.
• Engage with the Big Data Summer Immersion at Yale (BDSY) summer undergraduate research program in a leadership role, this may involve planning academic programming, oversight of admissions, and mentoring of undergraduate trainees.
• Develop an online certificate in data science and AI in public health. This will include conducing an environmental scan/market analysis, identifying target audience and/or instructors, developing curriculum, promotion and management of the program.
• Participate actively in the intellectual life of the school and the broader Yale ecosystem through sustained engagement in teaching, mentoring, and educational leadership consistent with expectations for the rank of Senior Lecturer.
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.
Position Qualifications
Required
• 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.
Salary RangeCompensation is competitive and commensurate with qualifications and experience.
Benefits
Yale faculty with appointments of at least 50% time are eligible for comprehensive benefits, including medical, dental, vision, and automatic long-term disability coverage.
Position or Company Websiteyale.edu
Application Instructions
Applicants should submit the following online via Interfolio:
https://apply.interfolio.com/185331
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.
Yale and YSPH Commitment
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.
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.