"Assistant Professor (Tenure-Track)- Data Analytics"

Bard College, a liberal arts college on the Hudson River, is a private institution working in the public interest.

The Bard College Computational Sciences program invites applications for two tenure-track Assistant Professor positions, with a focus on Data Analytics, to begin Fall 2026. We seek candidates from diverse disciplines-across the arts & humanities, social sciences, or sciences-who represent the interdisciplinary application of Data Analytics in different fields. The innovative and interdisciplinary Computational Sciences program offers a B.A. in computer science, leads a minor in Data Analytics, and collaborates with several programs across the College including Environmental Studies, Experimental Humanities, and Mind, Brain, Behavior. Successful applicants will add to the set of recent hires within the expanding Computational Sciences program. Join our growing program and help shape new curricular offerings and research opportunities!

This role offers the unique opportunity to contribute to innovative curricular approaches for teaching data analytics and introductory statistics courses across Bard College’s programs, spanning sciences, arts, humanities, and social sciences. Successful candidates will be committed to innovative undergraduate teaching at a liberal arts college with a diverse student body; maintaining an active research program; contributing to the general education curriculum; and engaging with the life of the College.

We encourage applications from candidates with formal education in data analytics methods or who are actively engaged in scholarship involving advanced data analytics techniques.

Responsibilities: Teaching responsibilities will consist of courses in the Data Analytics curriculum as well as 4-6 week short courses and 1-2 week modules designed to integrate with courses in other fields. Responsibilities include: five courses (or equivalent curricular load) per academic year; senior project advising; student advising; and participation in Data Analytics curriculum development activities which include development of full-term courses, workshops, short courses, and a faculty data analytics training program.

Teaching responsibilities will include a subset of the following courses, depending on expertise and program needs: Introduction to Data Analytics and R Programming, Introduction to Statistics, and intermediate level courses in data analysis and/or data visualization, and helping to develop and teach courses on data mining, algorithmic bias, data ethics, and critical data studies. Intermediate and upper level courses could include modeling and simulation, data analytics for spatial analysis, geographic information systems, and/or digital humanities courses.

Qualifications

• The successful candidate will have the ability to teach quantitative reasoning, statistical concepts, and programming in R using Tidyverse workflows
• Candidates should be excited about interdisciplinary connections and interested in contributing to existing interdisciplinary activities on campus and helping to establish new ones
• Candidates should have experience with or interest in pursuing active learning and project-based learning pedagogies
• Strong communication, organization, and team collaboration skills
• Ability to contribute in meaningful ways to the college’s continuing commitment to diversity and inclusive pedagogy
• Formal education in data analytics methods, or active engagement in scholarship involving advanced data analytics techniques
• A PhD in a relevant discipline by start date
• The ability to teach some of Python, SQL, Geographic Information Systems, remote sensing and web-based geotechnologies, and other types of data models is desired but not required

Note that no AI tools will be used in any aspect of applicant evaluation.

Application Instructions To apply, send a cover letter, curriculum vitae, and teaching and research statements. The research statement must include discussion of ways in which you would incorporate undergraduates into your research activities. All statements should include discussion of working with a diverse student population. Please provide three letters of recommendation (at least one addressing teaching) through Interfolio at https://apply.interfolio.com/173494.

Completed applications received by October 15, 2025, will receive full consideration, and review of applications will continue until the position is filled.

For more information on the Computational Science Program at Bard, visit http://cs.bard.edu, or contact Valerie Barr at vbarr@bard.edu.

Compensation: $97,000-103,500 This salary range reflects the College’s good faith and reasonable estimate of the compensation for the position at the time of the job posting. Salary decisions are dependent on several factors including but not limited to market and organizational considerations, experience, and qualifications of a selected candidate as well as internal and external equity.

Benefits Overview We are pleased to offer our full-time employees an excellent benefit package which includes; multiple health insurance options; TIAA retirement plans; generous vacation, sick, and personal time; and more. To learn more about employee benefits and eligibility at Bard College, please visit https://www.bard.edu/humanresources/benefits.

Equal Employment Opportunity Statement Bard is an equal-opportunity employer, and we welcome applications from those who contribute to our diversity. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, mental, or physical disability, age, sexual orientation, gender identity, national origin, familial status, veteran status, or genetic information. Bard is committed to providing access, equal opportunity, and reasonable accommodation for all individuals in employment practices, services, programs, and activities. AA/EOE