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Assistant​/Associate Professor - Biostatistics & Data Science (AI Focus

Job in Kansas City, Wyandotte County, Kansas, 66115, USA
Listing for: University of Kansas Medical Center
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)

Department: SOM Department of Biostatistics ----- Faculty

Position Title:

Assistant/Associate Professor - Biostatistics & Data Science (AI Focus) Job Family Group:
Academic

Job Description Summary

The Department of Biostatistics & Data Science at the University of Kansas Medical Center (KUMC) is partnering with The University of Kansas Cancer Center (KUCC) to invite applications for a tenure-track faculty position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally recognized research centers and institutes.

The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian methodology, clinical trials, and data science, and will have opportunities to collaborate with investigators across the University of Kansas Cancer Center, Kansas Institute for Precision Medicine, Frontiers Clinical and Translational Science Institute, the Alzheimer's Disease Research Center and the newly established Enhanced Artificial Intelligence Center for Human-Focused Research.

In addition to developing an innovative research program, the faculty member will contribute to the Department's educational mission through excellence in teaching and mentoring graduate students in biostatistics, data science, and related disciplines.

Job Duties
  • Develop and maintain external funding in statistical artificial intelligence and biomedical data science.
  • Develop novel statistical and AI methodologies motivated by important biomedical problems.
  • Collaborate with KUCC investigators, as well as investigators across KUMC’s research centers and institutes.
  • Teach graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science.
  • Participate in the mentoring of graduate students, postdoctoral fellows, and staff.
  • Participate in departmental, institutional, and professional service activities.
  • Contribute to strategic initiatives involving the Enhanced Artificial Intelligence Center for Human-Focused Research and other interdisciplinary programs across KUMC.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications

Education:

PhD in Biomedical Informatics, Computer Science, Biostatistics, Statistics, Data Science, or related field. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements, institutional standards of academic and professional excellence, alignment with peer institution benchmarks, and contributes to the credibility and effectiveness of the role within the university community.

Work

Experience
  • Experience with artificial intelligence, machine learning, or statistical learning.
  • Experience developing or applying statistically principled AI methodologies.
  • Experience with interdisciplinary collaboration in biomedical research.
Preferred Qualifications Work Experience
  • Teaching experience in statistics, biostatistics, machine learning, artificial intelligence, or data science.
  • Research collaboration experience in cancer, obesity/ metabolic disease, or precision medicine.
  • Experience with one or more of the following: medical image analysis, computational pathology, multi-omics integration, electronic health record analysis, Spatial 'omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI.
Skills

Communication skills Required Documents Resume/CV Cover Letter

If selected as a final candidate for this position, you may be required to complete the…

Position Requirements
10+ Years work experience
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