About the Department of Computational Biology The Department of Computational Biology (CB) is a joint department in the College of Agriculture and Life Sciences (CALS) with three participating colleges including the Ann S. Bowers College of Computing and Information Science and the College of Arts and Sciences. The department consists of nine full-time faculty members, with additional adjunct, joint and research faculty members. Faculty have expertise in computer science, genomics, systems biology, population genetics, and modeling. They apply these skills to a wide range of exciting problems in the life sciences. The department administers the Computational Biology undergraduate concentration within the Bachelor of Science degree in Biology and is home to the Computational Biology PhD graduate degree program. Additionally, the faculty in the department are members of the Computational Biology graduate field, as well as several other graduate fields offering M.Sc. and Ph.D. degrees. The Opportunity The Field of Computational Biology is seeking a Graduate Field Assistant and Undergraduate Program Coordinator to serve as a trusted hub for student support and program operations. This role is ideal for someone who enjoys working across teams, translating policies into practical guidance, and creating a welcoming, student-centered experience for people from all backgrounds. In this position, you will provide a broad range of administrative support to department faculty and teaching staff, partner closely with the Director of Graduate Studies (DGS), collaborate with CALS Office of Academic Programs and campus partners, and help ensure students receive timely, accurate, and compassionate support throughout their academic journeys. This position is part-time (20 hours/week) and will be located in Ithaca, New York. Interested candidates should apply by February 23rd. What You’ll Do This is a highly collaborative, service-oriented role with a balance of program coordination, policy interpretation, and student support.
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Job Type
Part-time
Career Level
Entry Level
Education Level
Associate degree