Research Data Analyst

University of Kansas Medical CenterKansas City, KS
Onsite

About The Position

The Research Data Analyst will contribute to a multi-year assessment of health service utilization and outcomes in the south-central Midwest/Great Plains in collaboration with a multidisciplinary research team of demographers and health services researchers. In this position, the data analyst will contribute to the quantitative analysis of large scale federal administrative data sets (Medicare, Medicaid claims), as well as report, manuscript, and grant preparation.

Requirements

  • Six (6) years of experience working with large secondary datasets (E.g. administrative claims data (Medicare, Medicaid), national survey data). Education may be substituted for experience on a year for year basis.
  • Experience and proficiency with one or more statistical software packages (SAS, R, Python, STATA), including data visualization.
  • Microsoft Office Suite.
  • Organization.
  • Analytical thinking.
  • Communication.
  • Attention to detail.
  • Time management.

Nice To Haves

  • Master’s degree in biostatistics or statistics, data science, epidemiology, sociology, economics, health services research, public or population health, or a related field.
  • Applied experience with or substantive knowledge of the U.S. health care system and U.S. health policy landscape, including baseline understanding of state and federal health insurance programs inclusive of Medicare, Medicaid, and the Children’s Health Insurance Program (CHIP).
  • Evidence of scholarship in rural health service delivery, rural health, health services research, health policy.

Responsibilities

  • Perform descriptive and model-based analyses to support health service utilization and outcomes assessment(s).
  • Generate clear, publication-quality visualizations and tables to communicate analytic findings to a wide audience, including policy audiences and community stakeholders.
  • Identify analytic needs of research questions; design and execute analyses that provide meaningful and actionable answers.
  • Clean, organize, and link multiple large datasets and ensure reproducibility and data integrity.
  • Assist with interpretation of results and dissemination of findings through preparation of reports, journal articles, presentations, and other scholarly outputs.
  • Specifically, contributions towards analytic design and support.
  • Assist with IRB and other regulatory requirements (e.g., data use agreements)

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Health expense accounts with generous employer contributions
  • Employer-paid life insurance
  • Long-term disability insurance
  • Various additional voluntary insurance plans
  • Paid time off, including vacation and sick
  • Ten paid holidays
  • One paid discretionary day after six months of employment
  • Paid time off for bereavement
  • Paid time off for jury duty
  • Paid time off for military service
  • Paid parental leave after 12 months of employment
  • Retirement program with a generous employer contribution
  • Additional voluntary retirement programs (457 or 403b)
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