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Instructional Professor in the Division of Biomedical Sciences
King Abdullah University of Science and Technology: Faculty Positions: Biomedical Sciences Division (faculty)
Location
Thuwal, Saudi Arabia
Open Date
Mar 17, 2026
Deadline
Apr 24, 2026 at 11:59 PM Eastern Time
Description
To support the training and recruitment of local and international Master's and Ph.D. students in the Biomedical Sciences Division at King Abdullah University of Science and Technology (KAUST), we are seeking highly motivated candidates for Instructional Faculty Member positions (all ranks). The Instructional Faculty complements the Division's teaching and recruitment activities. In particular, the Instructional Faculty will teach cross-divisional quantitative courses for students with a background in bioscience, bioengineering, and engineering. Annual student cohorts may reach up to 100 students, and the instructor is expected to incorporate the latest best-practice teaching methods to engage a diverse student population consisting of roughly equal numbers of highly motivated international and Saudi students.
Some of the key responsibilities include:
- To develop and teach up to three courses annually—ranging from biostatistics, bioinformatics, to modern AI at the advanced undergraduate or early graduate (M.S.) levels, specifically designed for cohorts without formal training in computer science, statistics, or mathematics.
- To contribute to designing and administering an entry assessment test for incoming M.S. students.
- To assist in student recruitment by conducting standardized academic admission interviews and preparing reports for the divisional faculty admissions committees.
About KAUST
KAUST is an international graduate research university dedicated to advancing science and technology through collaborative, cutting-edge research to address both national and global challenges. Located in Saudi Arabia, on the eastern shores of the Red Sea, KAUST provides an award-winning campus to live, work, study, and play, and offers internationally competitive salaries. For more information about KAUST, please visit http://www.kaust.edu.sa. More information about the Biomedical Sciences Division is available at https://www.kaust.edu.sa/en/study/biomed.
Qualifications
Ideal candidates should possess a Ph.D. in Computer Science, Computational Biology, Bioinformatics, Bioengineering, Statistics, or a related field, along with a strong track record in teaching excellence.
Application Instructions
Interested candidates should submit the following materials:
- CV
- Teaching statement
- Proof of teaching experience
- Proven research experience and publication record on developing and using biostatistics, bioinformatics to modern AI methods for biomedical applications
- Syllabi of courses designed
- Student evaluations of teaching from previous courses taught
- Names and contact information for at least three referees
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
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