Biology – Bioinformatics, CFS Professorial Faculty

Brigham Young University • Provo, UT

6d • Onsite

About The Position

The Department of Biology at Brigham Young University invites applications for a continuing faculty status (CFS) position in Bioinformatics. The department seeks a candidate whose teaching and research will strengthen interdisciplinary training at the interface of biology, computation, and data science.

Primary teaching responsibilities include courses such as BIO 165 (Introduction to Bioinformatics), BIO 264 (Computational Methods for Biologists), and upper-division and graduate courses in bioinformatics, data analysis, and machine learning. These courses serve students across Biology, Bioinformatics, Computer Science, and other College of Life Sciences programs. The successful candidate will contribute to developing and delivering curriculum that integrates computational methods within biologically meaningful contexts.

The successful candidate will establish and maintain an externally visible research program involving undergraduate and graduate students in mentored research experiences. Potential research areas include bioinformatics, computational biology, machine learning for biological data, artificial intelligence in the life sciences, and related data-driven approaches. Candidates whose work advances or applies AI-enabled methods to biological problems are particularly encouraged to apply.

Faculty contribute to the academic life of the department through teaching, research, and service, including mentoring students, participating in departmental and university service, and supporting Brigham Young University's mission. The successful candidate must relocate to and/or reside in Utah for the duration of employment and is expected to support and contribute to the university's academic and religious missions within the context of the principles and doctrine of its affiliated church. Faculty must abide by the university's Honor Code and Dress & Grooming Standards. Qualified candidates who are members in good standing of The Church of Jesus Christ of Latter-day Saints are preferred. New employees who are members of that church must hold and be worthy to hold a current temple recommend.

Requirements

• PhD in Bioinformatics, Computational Biology, Computer Science, or a closely related field, completed by the position start date.
• Demonstrated ability to teach undergraduate and graduate courses in bioinformatics, computational biology, or related areas.
• Evidence of an active research program in bioinformatics or a related discipline that engages undergraduate and graduate students.
• Experience in data analysis, programming, machine learning, and artificial intelligence as applied to biological systems.
• Relocate to and/or reside in Utah for the duration of employment.
• Faculty are required to abide by the university's Honor Code and Dress & Grooming Standards.

Nice To Haves

• Research that advances or applies AI-enabled methods to biological problems is particularly encouraged.
• Experience and commitment to mentoring students from a variety of backgrounds.
• Preference is given to qualified candidates who are members in good standing of The Church of Jesus Christ of Latter-day Saints.

Responsibilities

• Teach undergraduate, upper-division, and graduate courses in bioinformatics, computational biology, data analysis, machine learning, or related areas.
• Develop and deliver curriculum that integrates computational methods within biologically meaningful contexts.
• Establish and maintain an externally visible research program involving undergraduate and graduate students in mentored research experiences.
• Mentor students.
• Participate in departmental and university service.
• Contribute to the academic life of the department through teaching, research, and service.
• Support and contribute to the academic and religious missions of Brigham Young University.
• Abide by the university's Honor Code and Dress & Grooming Standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree