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Lecturer in Public Health (non tenure-track, continuing) Job Opening In Waterville ME – Now Hiring Colby College


Job description

We invite applications for a non-tenure-track faculty position in Public Health at Colby College to begin Fall 2026.

This is a permanent teaching position with teaching and administrative (but no research) responsibilities.

Candidates should have a doctoral degree in a public health (or similar) field and have the ability to teach a statistical methods course at the introductory level.

Potential areas of expertise include epidemiology, environmental health, nutrition, and health policy and management.

The ideal candidate will be passionate about interdisciplinary public health teaching to undergraduates from multiple majors.

The person in this position will be responsible for teaching four courses per year and advising students in a public health minor.

Teaching responsibilities will include an introductory course in public health, introductory statistical methods courses, and other courses broadly related to environmental public health.

The position will also work closely with multiple entities across campus to promote student interest in public health.

The ability to establish connections with community partners to provide students with interdisciplinary opportunities in public health is also desirable.

We are seeking candidates from a wide variety of backgrounds and experiences who, through their teaching, scholarship, and service, will promote access, opportunity, and inclusion across the campus community.

Colby is a highly selective liberal arts college recognized for excellence in undergraduate education and close student-faculty interaction.

Colby is home to many interdisciplinary academic programs and labs.

These include the McVey Center for Computational and Data Sciences ([https://news.colby.edu/story/gift-establishes-mcvey-center-for-computational-and-data-sciences/](https://news.colby.edu/story/gift-establishes-mcvey-center-for-computational-and-data-sciences/)) , the Buck Lab for Climate and the Environment ([https://www.colby.edu/buck-lab-for-climate-and-environment/](https://www.colby.edu/buck-lab-for-climate-and-environment/)), the Colby Public Policy Lab ([https://www.colby.edu/people/offices-directory/public-policy-lab/](https://www.colby.edu/people/offices-directory/public-policy-lab/)), and the Davis Institute for Artificial Intelligence ([https://davisinstituteai.colby.edu/](https://davisinstituteai.colby.edu/)).

Colby is a private, coeducational liberal arts college that admits students and makes personnel decisions on the basis of the individual’s qualifications to contribute to Colby’s educational objectives and institutional needs.

The principle of not discriminating on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, caste, national or ethnic origin, marital status, genetic information, political beliefs, veteran or military status, parental status, pregnancy, childbirth or related medical conditions, physical or mental disability unrelated to the job or course of study requirements is consistent with the mission of a liberal arts college and the law.

Qualifications Candidates should have a doctoral degree in a public health (or similar) field and have the ability to teach a statistical methods course at the introductory level.

Potential areas of expertise include epidemiology, environmental health, nutrition, and health policy and management.

Application Instructions Applicants should submit a cover letter, curriculum vitae, and a personal statement of no more than three (3) pages detailing their teaching philosophy and interdisciplinary work in public health.

Contact information for three references should also be included.

These materials should be submitted electronically at [apply.interfolio.com/174834](https://apply.interfolio.com/174834).

Review of applications will begin October 17, 2025, and will continue until the position is filled.

Required Skill Profession

Other General


  • Job Details

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