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Research Analyst

KUMC University of Kansas Medical Center · Kansas City Metro Area, United States

External listingfull-time14 days ago

About The Role

SOM KC Internal Medicine - Medical Informatics -----

Medical Informatics Position Title

Research Analyst Job Family Group

Professional Staff Job Description Summary

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. Job Description:

Job Duties Outlined

  • Create custom analysis-ready datasets from structured and unstructured clinical research data repositories and databases, using clinical databases (e.g., electronic health records, claims databases, clinical research networks and large publicly available clinical datasets).
  • Use Structured Query Language (SQL), R or Statistical Analysis System (SAS) to perform data analysis.
  • 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.

Required Qualifications

  • Master's degree in Biostatistics/Statistics, Epidemiology, Quantitative Methods, Economics, Health Outcomes Research, Business Analytics 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).
  • Demonstrated ability with SQL and R, or SAS.

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 Rate Type

Salary

Compensation Statement

The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.

Pay Range

Minimum

Midpoint

Maximum

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