Assistant Professor of Biology

The department seeks a scientist with training in Quantitative Biology with a passion for teaching who will contribute to the broad education in biology we provide to our majors and to the college community. Expertise may include, but is not limited to: computational biology, mathematical biology, theoretical biology, modeling, biostatistics, and epidemiology.

A strong applicant will demonstrate an ability to contribute to Geneseo’s growing expertise in the areas of data analytics and bioinformatics.

The duties of the position include

• Teaching required courses in residence in the Biology programs and/or non-majors biology, and elective courses in quantitative biology.
• Developing and maintaining a research program in Quantitative Biology that engages undergraduate students from all backgrounds and generates scholarly products appropriate to the field. Faculty are strongly encouraged to apply for external funding for continuing appointment and promotion.
• Academic advising and service to the department, the college, the community, and profession, including contributing to curriculum development in quantitative biology or bioinformatics

The mission of the Department of Biology at SUNY Geneseo is to provide students from across New York State and beyond with a well-rounded background in biology, which can be used as a solid foundation for various careers in the biological sciences, health professions, and beyond. As a primarily undergraduate institution (PUI), we aspire to promote belonging among all our students, faculty and staff. This is achieved in part by having smaller class sizes ranging from 12 to 100 students per course, even in required and introductory courses in our popular and vibrant biology programs. Outside the classroom, undergraduate students work closely and directly with faculty to produce research and in other meaningful high-impact experiences, contributing to a high rate of students heading to graduate or professional school.

Our campus has a growing cohort of faculty teaching and working in data science, analytics, and applied AI across multiple departments in the Arts and Sciences and the School of Business. Recent hires, including in bioinformatics and data analytics, offer the opportunity for collaborations within and across disciplines. Geneseo also has two shared, Lambda workstations accessible to faculty and students suitable for research computing tasks, a GIS lab, and multiple computer labs.

Required qualifications

• PhD in relevant discipline (Biology, Chemistry, Biochemistry, Biostatistics, Bioinformatics, Computer science, etc). Applicants for this position must have the conferred degree by the appointment date (September 1 2027)
• Evidence of interest and ability to teach coursework in the subject of Quantitative Biology (e.g., biostatistics, etc.) and other courses in Biology (e.g., general biology, ecology, genetics, biochemistry, human biology, contemporary biology, advanced electives, etc.) to both introductory and advanced undergraduate students.
• Potential to create and maintain a research program in Quantitative Biology that engages undergraduate students at a primarily undergraduate institution (PUI)
• A commitment to fostering a welcoming, inclusive, and equitable working and teaching environment for all.
• Ability and willingness to work in person on the SUNY Geneseo campus

Candidates for this position must be eligible to work in the United States. VISA sponsorship is not offered.

This is an in-residence 3-3 teaching position that may require teaching in multiple modalities including in-person laboratories depending on the needs of the department and college.

Preferred qualifications

• Teaching experience and/or contributions to curricula in Quantitative Biology, or related courses
• Research publications in peer-reviewed formats as appropriate to the field
• Experience mentoring undergraduate students in research
• Demonstrated engagement with building a culture of belonging in the workplace and/or teaching environments
• Some postdoctoral and/or professional experience in Quantitative Biology