HEOR Analyst

In accordance with client requirements, candidates must be eligible and willing to work on a W2 basis. Our W2 consultants enjoy a comprehensive benefits package that includes medical, dental, and vision coverage and a 401(k) plan. • 100% Remote - EST • We are seeking a highly motivated HEOR (Health Economics and Outcomes Research) Analyst to support the design, execution, and analysis of real-world evidence studies. This role will focus on leveraging large healthcare datasets to generate insights that inform clinical and business decisions. The ideal candidate brings strong analytical expertise, hands-on programming skills, and experience working in fast-paced, collaborative environments. Key Responsibilities • Design and execute observational research studies using real-world data (RWD) sources such as healthcare claims and EHR databases • Analyze large datasets to evaluate clinical, economic, and patient outcomes • Develop and maintain SAS programs for data extraction, transformation, and statistical analysis • Apply advanced statistical methods including regression and survival analysis • Interpret results and translate findings into clear, actionable insights for stakeholders • Collaborate cross-functionally with clinical, data, and business teams • Manage multiple projects across different therapeutic areas, ensuring timelines and quality standards are met • Ensure adherence to data governance, coding standards, and best practices Required Qualifications • Master’s degree in Epidemiology, Public Health, Biostatistics, or a related field • Minimum 3 years of professional SAS programming experience • Minimum 3 years of experience conducting real-world studies using large healthcare claims or EHR databases (e.g., MarketScan, PharMetrics Plus, Premier) • Experience with Amazon Redshift • Working knowledge of diagnostic, procedure, and healthcare coding systems (e.g., ICD, CPT, HCPCS) • Strong understanding of statistical methodologies, including regression and survival analysis • Proven ability to design and execute observational research studies • Strong project and study management skills • Ability to manage multiple priorities in a fast-paced, team-oriented environment Preferred Qualifications • Experience with additional tools such as R, R Shiny, Python, VBA, or Tableau • Experience with Snowflake • Familiarity with data visualization and reporting tools Key Skills • Analytical thinking and problem-solving • Strong attention to detail and data accuracy • Effective communication and stakeholder engagement • Ability to work independently and collaboratively