Assistant Professor, Computational Biology, Tenure-Track at University of North Dakota in Grand Forks, North Dakota

Job Description:

Salary/Position Classification

• $90,000 9-month Contract, Exempt


• 40 hours per week


• 100% Remote Work Availability: No


• Hybrid Work Availability (requires some time on campus): No

We seek a Computational Biologist that develops and uses mathematical and/or computational models to address fundamental questions in biology. We are broadly interested in candidates that strive to understand how molecular, cellular, and developmental mechanisms determine phenotype and/or how environmental factors impact these mechanisms. Research on organisms from any biological kingdom is welcome, including species of import for agricultural, ecological, or human health. Competitive candidates would have a strong record of accomplishment in Computational Biology irrespective of the model system. Computational approaches include, but are not limited to, machine learning, computer vision, systems biology, bioinformatics, biostatistics, mathematical biology, biophysics, dynamical systems, or multi-scale modeling. Applications from candidates whose work is entirely computational and from candidates who combine experimental and computational approaches are equally welcome.

The Department of Biology is an academic unit in the College of Arts & Sciences at the University of North Dakota. It serves about 500 undergraduate majors and 30 M.S. and Ph.D. students. In addition to teaching, our faculty members are involved in private, state, and federally funded research programs that span scales of organization from molecular biology to developmental biology and physiology to population and landscape ecology. The department's faculty members actively train undergraduate and graduate students in their research programs.

• Establish an original, independent, productive, and extramurally funded research program.


• Mentor graduate students.


• Contribute to the Biology and Molecular and Integrative Biology programs through teaching, advising, and providing undergraduate research experiences.


• Teach the equivalent of two courses per year in the candidate's area(s) of expertise.

• Ability to develop an original, independent, and extramurally funded research program in
  computational biology.


• Ability to teach, mentor, and inspire students in the department.


• Excellent written and oral communication skills.


• Effective interpersonal skills, including the ability to collaborate effectively with diverse
  students, staff, faculty, and colleagues.


• Ability to implement high-impact teaching practices.


• Ability to enhance quantitative and computational skills of undergraduate and graduate
  students.


• Ability to strengthen university-wide competency in computational methods and
  contribute to the UND LEADS strategic plan or other campus-wide initiatives.

• Ph.D. in the life sciences, computational sciences or equivalent.


• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.

• Postdoctoral experience


• Research experience using or developing mathematical and/or computational methods
  for analyzing complex biological systems, evidenced by publications


• Experience in seeking and/or obtaining extramural research funding


• Experience working with graduate students in research


• Experience with undergraduate teaching, advising or providing research experiences

To assure full consideration, applications must be received by 11/01/2024 and include the following materials:

• Cover letter highlighting qualifications for position


• Curriculum vitae


• Statements of research interests (not to exceed 3 pages)


• Statements of teaching interests (not to exceed 2 pages)


• Three representative publications as pdf files


• Names and contact information for three references


• Please note that the selected candidate will be required to submit official graduate transcripts upon hire

Questions may be directed to Dr. Manu at manu.manu@und.edu