POSTDOCTORAL SCHOLAR

Temporary Postdoctoral Research Scholar Position in Clinical Data Analytics

The Department of Business Analytics within the Tippie College of Business at the University of Iowa invites applications for a 100%-time postdoctoral research scholar position starting as early as January 21, 2025. The initial appointment is for one year, with the possibility of renewal. Position is temporary and includes benefits .

Salary will be $61,008 to commensurate with qualifications. Appropriate background checks (e.g. criminal background and credential checks) will be conducted.

There is an expectation that the person in this position will maintain effective, civil, and respectful working relationships with the University of Iowa campus community and uphold a high standard of cultural competency and respect for difference that represents the Tippie College of Business’ commitment to access, opportunity, and diversity.

The postdoctoral research scholar will work under the supervision of Prof. Nick Street and take an active role in the research environment of the award-winning Business Analytics Department. The position will mix basic machine learning research with applied work in clinical decision support (risk assessment, prognosis, treatment planning, etc.), in collaboration with scholars and clinicians in the colleges of medicine, nursing, and pharmacy. Ultimately, the person in this position will contribute to the translation of machine learning technology into improved, personalized clinical care.

Application Instructions

Applicants should submit:

For best consideration, applications should be submitted by December 15, 2024. Review of applications will begin immediately. Applications will continue to be accepted and reviewed until the position is filled.    

An earned doctorate in analytics, computer science, engineering, statistics, or other relevant field, or strong evidence that the doctoral degree conferred by January 21, 2025.

Practical experience and demonstrated publication record in predictive machine learning/analytics.

• Expertise in reinforcement learning and/or federated learning.


• Expertise in prescriptive analytics (mathematical optimization, simulation, etc.).


• Experience working with electronic health record data.


• Demonstrated ability to work in a collaborative environment.

To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information.