The University of Vermont

Senior Health Services Research Analyst

The University of Vermont$95K — $103K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in health services research, economics, biostatistics, or a related field; 5-10 years in quantitative health research or equivalent experience.
  • Expertise in Medicare, Medicaid, and commercial claims analysis.
  • Proficiency in SQL for relational data construction and management.
  • Experience in complex survey analysis, including weighting and variance estimation.
  • Knowledge of healthcare reimbursement, payer policy, and strengths/limitations of administrative data.
  • Ability to analyze rural health data and identify relevant populations.

Responsibilities

  • Lead and direct analytic work by a team of analysts and collaborators.
  • Develop and manage complex health services research studies and methodologies.
  • Conduct data acquisition, management, and analysis using large claims datasets.
  • Establish quality and reproducibility standards for analytic work.
  • Represent the analytic program in communications with external stakeholders and funders.
  • Contribute to the preparation of research proposals, reports, presentations, and publications.
  • Resolve complex methodological challenges affecting multiple projects.

Benefits

  • Eligible for full-time telework according to university policy.
  • Opportunity for mentoring and leadership roles in research.
  • Access to a collaborative environment in a well-respected academic setting.
Full Job Description
Senior Health Services Research Analyst

Posting Summary

The Heath Services Research Center is a Larner College of Medicine Dean's Office department and this position will report to the Director of the Center and will functionally direct and review analytic work performed by other analysts, consultants, subcontractors, students, and collaborators. Its role is not simply coaching or training others but assuring the scientific integrity of their work.
This position will serve as the principal analytic and methodological expert for a portfolio of highly complex health services, health policy, and rural health studies. Combine advanced technical, data, statistical, and econometric expertise with extensive knowledge of the health care system, reimbursement, payer policy, and the strengths and limitations of administrative data. Exercise substantial autonomy in partnership with principal investigators to shape study design, analytic strategy, data acquisition and management, interpretation, and dissemination. Lead analyses using large Medicare, Medicaid, and commercial claims and enrollment data; build longitudinal relational data resources using SQL ; link claims with surveys, provider files, geographic data, and other external sources; and develop defensible methods for identifying rural providers, populations, and markets. Lead analyses of complex survey data using established survey weights and design variables and conduct advanced analyses using SAS and Stata. Resolve novel, ambiguous, or high-impact methodological and data problems affecting multiple studies or partners. Establish analytic standards; assure quality, reproducibility, security, and scientific integrity; and direct or review work performed by analysts, collaborators, consultants, and subcontractors. Represent the analytic program with funders, agencies, data partners, and scientific collaborators and provide authoritative contributions to proposals, reports, presentations, and peer-reviewed publications.

Minimum Qualifications (or equivalent combination of education and experience)

Master's degree in health services research, health economics, epidemiology, biostatistics, public health, public policy, economics, statistics, or a related field and at least 5 -10 years of progressively responsible experience conducting complex quantitative health services or health policy research; or an equivalent combination of education and extensive relevant experience.

This is not simply advanced statistical programming. The position requires an unusually rare combination of:
• Medicare, Medicaid, and commercial claims expertise
• SQL -based relational and longitudinal data construction
• Econometric and health policy analysis
• Complex survey analysis and weighting
• Rural provider and population identification
• Knowledge of reimbursement, payer policy, coding, and administrative-data limitations
• Experience analyzing Medicare, Medicaid, commercial claims, all-payer claims, or other national or state health data.
• Extensive experience analyzing large, complex health care claims and enrollment data across Medicare, Medicaid, and commercial payers, including deep knowledge of coding, reimbursement, payer policies, benefit design, and the strengths and limitations of administrative data.
• Expert-level SAS , Stata, and SQL experience, including construction and management of complex relational and longitudinal analytic files, data linkage, quality assurance, econometric and health policy analysis, and reproducible documentation.
• Advanced expertise analyzing complex survey data using established survey weights, strata, clusters, replicate weights, and appropriate variance-estimation methods, including integration of survey and administrative data.
• Demonstrated experience identifying rural providers, populations, and geographic markets in administrative data and applying rural definitions appropriately to research questions.
• Demonstrated experience serving as the principal analytic expert for highly complex studies or a portfolio of projects, establishing analytic strategy and standards, allocating analytic resources, and delivering high-quality products with substantial autonomy.
• Demonstrated ability to resolve novel, ambiguous, or high-impact analytic problems, evaluate and defend alternative approaches, and implement improvements that strengthen methods, systems, or products across multiple projects or collaborators.
• Knowledge of HIPAA , data use agreements, and data security practices applicable to confidential research data.
• Effective written, oral, and interpersonal communication skills, including the ability to explain complex methods and findings to technical and nontechnical audiences and collaborate with internal and external partners.

Desirable Qualifications
• Doctoral degree in health services research, health economics, epidemiology, biostatistics, public health, public policy, economics, statistics, or a related field and at least 10 - 15 years of progressively responsible experience conducting complex quantitative health services or health policy research; or an equivalent combination of education and extensive relevant experience.
• Experience with rural health, health policy, health care access, quality, financing, delivery system transformation, or evaluation research.
• Experience contributing to grant or contract proposals, budgets, IRB materials, data acquisition, and data use agreements.
• Record of contributing to policy briefs, sponsor reports, presentations, or peer-reviewed publications.
• Experience mentoring analysts or students and reviewing analytic code and work products.

Anticipated Pay Range

$95,000-$103,000

Other Information

Special Conditions

A probationary period may be required, Contingent on continued funding, This position is eligible for full-time telework in accordance with the university telecommuting policy, Background Check required for this position

About The University of Vermont

The University of Vermont (UVM) is a public research university located in Burlington, Vermont. The university was founded in 1791 and is the fifth oldest university in New England. UVM offers undergraduate, graduate, and professional degree programs in a wide range of fields, including agriculture, business, education, engineering, medicine, and the arts and sciences. The university is known for its commitment to sustainability and environmental stewardship, and has been recognized as a leader in these areas. UVM is also home to a number of research centers and institutes, including the Gund Institute for Environment and the Vermont Complex Systems Center.
Learn more about The University of Vermont
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