Top 4 Claims analyst Jobs in Burlington, Vt

Senior Health Services Research Analyst
University of Vermont —Burlington, VT
- Full-time
- Background check
- Management
- Doctoral degree
2d

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Senior Health Services Research Analyst

University of Vermont -
Burlington, VT

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Job Details

Full-time
2 days ago

Qualifications

Health policy analysis
Economic experience in healthcare
Quantitative applied research
Biostatistics-based research
SAS
HIPAA
SAS language
Stata
Survey analysis
SQL
Data quality management
Econometric analysis
Policy analysis
Data integrity and documentation
Health information security
Research project technical leadership
Epidemiological research
Health insurance knowledge
Policy research projects
Clustering
Healthcare reimbursement methods
Health economics data analysis
Statistical analysis tools
Database software proficiency

Full Job Description

Position Details

Advertising/Posting Title

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

FLSA

Exempt

Union Position

Yes, UVMSU

Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location

Burlington, Vermont, United States

Job Open Date

07/29/2026

Job Close Date (Jobs close at 11:59 PM EST.)

08/04/2026

Open Until Filled

Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM’s mission and advancing Our Common Ground values through the execution of their job duties.

Position Information

Position Title

Research Data Analysis PC4 X

Posting Number

S6240PO

Department

COM Office of the Dean/55000

Position Number

00027955

Percent of Full-Time

1.0

Standard Hours at 1.0 FTE

37.5

Term (months per year)

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