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Lecturer In Data Science Jobs (NOW HIRING)

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Duties and Responsibilities Teach assigned courses in the data science curriculum. Courses that may be covered by a Data Science (DATA) lecturer are described in the UH Hilo catalog: Prepare course ...

Bowdoin College

Lecturer in Computer Science

Brunswick, ME · On-site

$94K - $100K/yr

Posting Details Posting Details Title Lecturer in Computer Science Posting Number F00314JP ... Intro to Computer Science, Data Structures) as well as intermediate and advanced courses within the ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Teach assigned courses in the data science curriculum. Courses that may be covered by a Data Science (DATA) lecturer are described in the UH Hilo catalog: * Prepare course schedule, syllabus, and ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

... Lecturer of Data Science Anticipated Hiring Range $4K per credit (additional compensation for ... In your cover letter please list which of the following core courses you would like to be ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

... Lecturer of Data Science Anticipated Hiring Range $4K per credit (additional compensation for ... In your cover letter please list which of the following core courses you would like to be ...

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How much do lecturer in data science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for lecturer in data science in the United States is $62,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $73,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Lecturer In Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $62,646 per year, or $30.1 per hour.

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

New Haven, CT • On-site

Yale University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Yale Universityexternal

Full-time

Re-posted 20 days ago

Key responsibilities

  • Develop and deliver courses on AI in Public Health.

  • Help build institutional capacity through workshops, short courses, summer programs, and certificate programs related to data science and AI in public health.

  • Collaborate with colleagues across Yale School of Public Health and Yale to enhance teaching and training at the intersection of AI, data science, and public health.

Yale University rating

8.2

Company rating: 8.2 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

Job description

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.

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