HEOR Analyst

About the Job

Title: HEOR Analyst

Location: Remote

Employment Type: Contract

Duration: 12+ Months

Status: Accepting Candidates

About the Role

We are seeking an experienced HEOR Analyst to support health economics and outcomes research through real-world data analysis. The ideal candidate will have strong SAS programming skills, hands-on experience with healthcare claims/EHR databases, and a background in observational research and statistical analysis.

Key Responsibilities

• Analyze real-world data to support product portfolios and development across multiple therapeutic areas.
• Conduct research on disease prevalence, disease burden and progression, healthcare resource utilization, and treatment patterns.
• Develop and implement efficient SAS programs and perform quality control checks on programming outputs.
• Assist in developing study protocols and statistical analysis plans.
• Generate analytical reports, tables, and graphics to communicate research findings.
• Develop and maintain reusable SAS macros, programming templates, and analytical tools.
• Conduct HEOR and observational studies using large healthcare claims and EHR databases.
• Apply statistical methods, including survival and regression analyses.
• Utilize Amazon Redshift and work with healthcare diagnostic, procedure, and medical coding systems.
• Maintain project documentation and manage multiple studies across different therapeutic areas.

Qualifications

• Master’s degree in Epidemiology, Public Health, Biostatistics, or a related field.
• 3+ years of professional SAS programming experience.
• 3+ years of experience conducting real-world studies using large healthcare claims/EHR databases for HEOR or related functions.
• Experience with databases such as MarketScan, PharMetrics Plus, or Premier.
• Experience designing and executing observational research.
• Working knowledge of healthcare diagnostic, procedure, and medical coding systems.
• Experience with Amazon Redshift; Snowflake experience is a plus.
• Knowledge of statistical methods, including survival and regression analyses.
• Strong analytical, project management, organizational, and communication skills.
• Ability to manage multiple projects in a fast-paced, collaborative environment.

Compensation

Estimated Hourly Rate: $60–$65/hr (W-2)

Final compensation within this range will depend on skills, experience, and interview results.