Associate Professor – Internal Medicine (Medical Informatics)

Department: SOM KC Internal Medicine - Administration ----- Medical Informatics Position Title: Associate Professor – Internal Medicine (Medical Informatics) Job Family Group: Academic Job Description Summary: The Associate Professor in the Division of Medical Informatics within the Department of Internal Medicine plays a key role in advancing research through data science, biostatistics, and biomedical informatics. This position contributes to the development of informatics approaches that support studies in areas such as Medical Informatics, Sleep Medicine, Physical Activity and Weight Management, Nephrology, and Endocrinology. The role emphasizes collaboration with faculty across Internal Medicine, other academic units within the University, and senior leadership from affiliated organizations, including the University of Kansas Health System and the State of Kansas. By integrating computational methods with clinical and translational research, the position helps generate data-driven insights that inform both scientific discovery and improvements in patient care. The scope of this work supports interdisciplinary initiatives and strengthens institutional capacity for innovation in healthcare research. Job Description: Job Duties Lead the design, development, and implementation of novel machine learning and statistical algorithms to analyze "big" medical data. Develop and validate robust predictive and prescriptive models for various health outcomes, with an initial focus on chronic and acute diseases. Oversee the enhancement and management of a clinical data research infrastructure, including the integration of cloud computing capabilities. Provide informatics leadership and support for collaborative, multi-institutional research projects. Collaborate with a multidisciplinary team of clinicians, data scientists, and researchers to translate research questions into actionable analytical plans. Contribute to the writing of grant proposals to secure research funding from federal and private sources. Disseminate research findings through publications in high-impact journals and presentations at scientific conferences. Participate in training and education of graduate/doctoral students and post-doctoral fellows in research settings and in formal and informal group education formats. Contribute to committees at the University level that supports research and teaching mission. 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: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Statistics, or a 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 in machine learning, statistical learning, and data mining principles and practices. Experience in developing and validating predictive models using large-scale clinical data, particularly Electronic Health Records (EHRs) and claims databases as demonstrated by a record of peer-reviewed publications and funding. Experience in leading or managing complex, data-intensive, multi-site research projects requiring deep understanding of clinical data infrastructure and its use in research. A track record of involvement in externally funded projects as the Principal Investigator and strong publication record in peer-reviewed journals. Preferred Qualifications Work Experience: Experience working within large clinical data research networks. Experience with cloud computing platforms (e.g., AWS, Azure, Databricks, Google Cloud) for scalable data analysis and infrastructure development. Experience in causal inference methods for observational data. Experience and working knowledge of SQL and R. Established track record in teaching and service. Skills: Teamwork Multitasking Time management Communication Interpersonal skills Attention to detail Organization Required Documents: Resume/CV Cover Letter If selected as a final candidate for this position, you may be required to complete the Association of American of Universities Representations and Warranties document and sign a release of records that will allow the University of Kansas Medical Center to conduct a further background check with former employers. A copy of the Representations and Warranties document can be found here. Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html Employee Type: Regular Time Type: Full time The mission of the University of Kansas Medical Center is to improve lives and communities in Kansas and beyond through innovation in education, research, and health care. The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information. http://policy.ku.edu/IOA/nondiscrimination https://kumc-publicpoliciesandprocedures.policystat.com/policy/8446235/latest/ Under Kansas state law, certain KUMC positions are subject to disability preference. For positions subject to this requirement, KUMC will offer an interview to a person who has applied for an open position who is qualified, with or without reasonable accommodation, to meet the performance standards of the position and who has presented acceptable proof of disability. If the position you apply for is subject to the disability preference requirement, you will be asked to provide information in support of your request for disability preference when you complete the application for employment. https://www.kumc.edu/public-safety/clery-information/annual-security-report.html https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf https://www.laborposters.org/federal/1606-federal-pay-transparency-poster.htm