Research Assistant Professor - Internal Medicine (Medical Informatics)

Department

SOM KC Internal Medicine - Administration

Medical Informatics

Position Title

Research Assistant Professor - Internal Medicine (Medical Informatics)

Job Family Group

Academic

Job Description Summary

The Research Assistant Professor in the Division of Medical Informatics in the Department of Internal Medicine will develop informatics approaches to further research in Medical Informatics, Sleep Medicine, Physical Activity and Weight Management, Nephrology, and Endocrinology by conducting and providing biostatistical support to research-intensive programs within the various areas of the Department.

Job Description

Job Duties

• Conduct and provide biostatistical support to research-intensive programs within various areas of the Department of Internal Medicine.
• Pursue collaborations that will support a research program with extramural funding.
• Publish research in high-quality peer-reviewed journals and present in local, national, and international conferences.
• Provide collaborative research support related to the development of data analysis solutions with KUMC researchers and affiliates.
• 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 support 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, Biostatistics, Data Science or related fields.

Work Experience: Research experience in data science with clinical, research, or medical administrative systems as demonstrated by a record of peer-reviewed publications and funding.

Preferred Qualifications

Work Experience:

• Experience in conventional and advanced statistical methods.
• Experience in working with large clinical datasets.
• High level proficiency, experience, and working knowledge of R, SAS, and STATA.
• Efficiency in the use of Microsoft Office tools.
• Established research, teaching, service, and extra-mural funding track record.
  
  

Skills

• The ability to promote effective teamwork in a rapidly changing multidisciplinary research environment.
• Superior interpersonal and communications skills as demonstrated by excellence in speaking, writing and listening.
• Ability to effectively communicate statistical methods and results.
• Detail-oriented with excellent organizational skills.
• Flexibility and adaptability to work under tight deadlines or changing needs.
• Ability to work in a multi-disciplinary setting.
  
  

Environment

The Department of Internal Medicine

The mission for The Department of Internal Medicine is to advance the power of medicine by providing a stimulating, supportive climate where faculty, scientists, trainees and support staff strive for excellence and collaborate freely to achieve shared goals. The Department is made up of eighteen divisions and has experienced tremendous growth in the past seven years. The Department has a thriving and rapidly expanding research portfolio that spans the entire spectrum of basic and clinical research from genes and molecules to translation of discoveries in the community. Supported by a centralized research administration and operations office that provides comprehensive services to advance the Department’s research enterprise and strategic vision, the Department has witnessed unsurpassed enthusiasm and support for research over the past year.

The Division of Medical Informatics

The Division of Medical Informatics is proud to provide informatics expertise and training to support clinical and translational researchers from multiple disciplines and health professionals at KUMC, affiliated organizations and external partner organizations. The biomedical informatics methods and tools we have developed allow our research collaborators to store, integrate, query, analyze, and visualize complex data sets. The division works closely with the University of Kansas Health System and the Office of the Chief Research Informatics Officer in making clinical data available for research purposes. Our faculty is dedicated to developing innovative informatics solutions including data science, artificial intelligence, and machine learning to support and accelerate translational and clinical research. The division's research is funded by the National Institutes of Health (NIH), National Science Foundation (NSF), Patient-Centered Outcomes Research Institute (PCORI), and other agencies.

Required Documents

• Resume
• 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