COVID-19 Vaccination Information

Across UPMC, our guiding principle is to always prioritize the safety of our employees, patients, and members. UPMC believes that vaccination is important, helps protect all, and advocates that everyone who can be vaccinated should be vaccinated.

UPMC complies with all governmental requirements related to local, state, and federal COVID-19 vaccination for employment. The Jan. 13 Supreme Court of the United States decision that the Centers for Medicare & Medicaid Services federal COVID-19 vaccine mandate will move forward requires UPMC to ensure employees either get vaccinated or receive a requested medical or religious exemption.

If you are not yet vaccinated, we urge you to get a vaccine now. You can schedule your COVID-19 vaccination through UPMC or visit a non-UPMC provider or UPMC Urgent Care location.

Proof of vaccination is not required upon hire; however, employees will be responsible for ensuring post-hire compliance by getting vaccinated or requesting a medical or religious exemption.

For more information about UPMC’s response to COVID-19, please visit

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   Current UPMC employees must apply in HR Direct

Lead Statistician, Health Plan - Remote


The Lead Statistician is responsible for comprehensive evaluation and analysis of data and information for clinical, financial, and quality related initiatives. To successfully perform the role, the Lead Statistician must be well versed in statistical method design, program evaluation, and advanced statistical modeling and methods. The Lead Statistician must also be able to translate program goals and objectives into testable hypotheses and develop methods by which to test and evaluate them. The Lead Statistician must use their knowledge and understanding of financial, clinical, and other information generated by numerous sources to mentor or lead a statistics team that will evaluate program efficacy and identify opportunities to improve the clinical and financial performance of those programs. This position provides 1. research support 2. development, planning, and methods design, and 3. coordination of statistical findings to support a portfolio of projects. Furthermore, the position requires the ability to work with senior and c-level executives to conceptualize program design and methods and to articulate quantitative results to internal and external audiences. These functions must be done while also weighing the practical considerations and potential barriers that need to be overcome to successfully implement new programs and processes. Must also assist with prioritization, oversight, and management of the work of the department.


  • The Lead Statistician will also use expert knowledge of medical claims, clinical data, and other data sources in order to properly analyze and interpret, through the application of quantitative analytics, the impact of care delivery and finance on Health Plan or Health Services Division performance.
  • Routinely create and analyze financial and clinical results, including output from predictive models.
  • Work closely with senior executives to scope out Program evaluation projects, independently develop evaluation plans and provide consultation on methods and optimal design.
  • Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment.
  • The successful lead Statistician will:Independently prioritize and manage three to five advanced quantitative and/or statistical analytics projects simultaneously, while receiving minimal supervision.Routinely apply advanced data extraction and manipulation skills, complex analysis methods, statistical analysis, and data visualization tools to daily work.
  • Produce customer-oriented reports that provide business context for the analysis and recommendations, requiring only minimal revision by the supervisor or analytics communications team.
  • Develop knowledge and expert understanding of products UPMC Health Plan insurance offerings, across all lines of business, and clinical initiatives to facilitate analysis.
  • Independently, or in teams, produce a combination of clinical program evaluation, quantitative financial analysis and clinical utilization analysis to produce new insights into drivers of Health Plan or Health Services Division performance and clinical program efficacy.
  • Mentor and develop and manage more junior Statisticians.Healthcare is a fluid, dynamic, fast-paced environment. The successful employee is comfortable with ambiguity in priorities and is able to maintain professionalism and a team-player attitude in the face of analytical challenges of moderate-to-high complexity.
  • The Lead Statistician will consistently demonstrate a strong customer orientation, producing analyses on-time and communicating results effectively.



  • Master's degree in mathematics, statistics, public health, decision sciences, economics, or a similar, quantitative field required
  • PhD highly preferred
  • Minimum of six-to-eight years of work experience in a quantitative job function; eight years are preferred.
  • Demonstrated expertise in particularly-relevant analytical methods or health care business domain (payer/provider) may reduce time-in-position requirements.
  • Advanced Analytics Skill SetThe successful Lead Statistician can apply analytical and statistical software tools to produce complex, quantitative analyses of clinical programs and the health insurance industry.
  • Work typically includes the use of statistical analyses and predictive models.
  • Demonstrate consistent application of strong problem solving skills in the creation and interpretation of quantitative analyses, and to assist the supervisor in development of analysis plans.
  • Demonstrated ability to design rigorous program evaluation methods, including comparison group formulation and clinical, financial, and quality outcome analysis.
  • Interpret and communicate to management and colleagues, verbally and through written reports, the results of complex, quantitative analysis.
  • Prior experience with clinical modeling or data analysis i s required.
  • Demonstrate prior application of analytics methods specifically to health insurance or health care delivery industry data at the advanced level.
  • Ability to leverage leading-edge analytics experience gained in other industries (e.g., population segmentation, risk analysis, optimization analytics, real-time analytics) to advance health care analytics will be strongly considered in lieu of health care experience.
  • General knowledge of business and economic principles strengthens the application.
  • Advanced Analytics Technology SkillsThe successful lead Statistician will have advanced-level experience using SAS, or R to conduct statistical analysis and modeling.
  • Demonstrated application of a similar programming language

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