Research Analyst- Medical Informatics

Department:
Medical Informatics

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Medical Informatics
Position Title:
Research Analyst- Medical Informatics
Job Family Group:
Professional Staff
Job Description Summary:
The Division of Medical Informatics at the University of Kansas Medical Center (KUMC) is seeking a Research Analyst to contribute to a growing research program focused on leveraging observational real-world clinical data to address relevant research questions in a variety of fields led by the faculty at the Division of Medical Informatics. Research domains include sleep medicine, pulmonary diseases, cardiovascular health, social determinants of health, mental health, and aging.
Job Description:

The Research Analyst will have the opportunity to access and analyze relevant data from various sources, such as electronic health records, claims databases, clinical research networks and various publicly available datasets. In this position, the Research Analyst will create custom analysis-ready datasets from structured and unstructured clinical research data repositories, assist in the preparation of analysis plans, perform statistical analyses, and maintain detailed documentation of data extraction and analysis supporting publications and grant proposals. The Research Analyst will also support institution-wide educational initiatives to increase access and utilization of clinical databases for observational research. Working in collaboration with faculty at the Division of Medical Informatics, the Research Analyst will create user-friendly documentation (e.g., tutorials, use cases), reusable data processing and analysis tools (e.g., statistical packages) and hands-on materials that will be used in workshops.

Required qualifications:

• Master’s degree in Biostatistics/Statistics, Epidemiology, Quantitative Methods, Economics, Health Outcomes Research, or related degree
• Two-years direct work experience in the analysis of clinical databases (e.g., electronic health records, claims databases, clinical research networks and large publicly available clinical datasets)
• High level proficiency, experience, and working knowledge of SQL and R (or SAS)
• Excellent written and oral communication skills

Preferred qualifications:

• PhD in Biostatistics/Statistics, Epidemiology, Quantitative Methods, Economics, Health Outcomes Research, or related degree
• Experience creating data analysis tutorials and R packages
• A track record of completed projects in health outcomes research with peer-reviewed publications
• Working knowledge of common data models (e.g., i2b2, PCORnet, OMOP)
• Experience in working with data from initiatives such as All of Us, National COVID Cohort Collaborative, Epic Cosmos, and Cerner Learning Health Network

• Proficiency in the use of causal inference methods applied to clinical databases
• Ability to communicate effectively with diverse stakeholders including clinicians, IT staff, basic scientists, and translational researchers

Job duties outlined:

• Create custom analysis-ready datasets from structured and unstructured clinical research data repositories and databases
• Assist in the preparation of statistical analysis plans, statistical analyses and create statistical analysis reports
• Maintain detailed documentation of data extraction and analysis supporting publications and grant proposals
• Create user-friendly documentation, reusable data processing and analysis tools and materials that will be used by faculty in teaching initiatives
• Other duties as assigned

How to apply: Interested applicants should submit a cover letter, CV, and contact information for 2-3

Employee Type:
Regular
Time Type:
Full time
Rate Type:
Hourly, Salary
Pay Range:
$60,000.00 – $93,000.00

Minimum

$60,000.00

Midpoint

$76,000.00

Maximum

$93,000.00