Real World Evidence Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the implementation of both retrospective and prospective Real-World Evidence (RWE) studies utilizing claims data, EMR/EHR data, and proprietary iRhythm clinical datasets.

• Operationalize study protocols, analytical plans, variable definitions, and statistical methodologies.

• Employ advanced epidemiological techniques such as propensity score matching, instrumental variables, difference-in-differences, interrupted time series, and survival analysis.

• Guarantee the reproducibility, auditability, and documentation of analytical pipelines.

• Develop and maintain budget impact models, cost-effectiveness models, and payer decision-support tools.

• Convert clinical evidence into economic inputs while accurately characterizing uncertainty.

• Create and update economic tools aimed at payers for client engagements.

• Execute sensitivity analyses, scenario modeling, and probabilistic analyses in accordance with HTA standards.

• Act as the main statistical programmer for RWE and health economic initiatives.

• Design and maintain the analytical data infrastructure, which includes datasets, codebooks, data dictionaries, and quality control processes.

• Collaborate with data vendors, CROs, and internal data science teams to access, cleanse, and validate data assets.

• Implement and sustain version-controlled analytical repositories.

• Prepare scientific abstracts, posters, and manuscripts for conferences and peer-reviewed journals.

• Translate complex analytical results for payer, clinical, and executive audiences.

• Co-author or contribute to health economic dossiers, coverage submissions, and payer value tools.

• Collaborate with Medical Affairs, Clinical Research, Commercial, and Payer Relations teams.

• Represent analytical workflows in stakeholder engagements.

• Mentor interns and junior analysts in research methodology, data analysis, and scientific writing.

⛳️ Requirements

• Master's or doctoral degree (MS, MPH, PhD) in Health Economics, Epidemiology, Biostatistics, Public Health, or a highly quantitative related field.

• A minimum of 3 years of progressive experience in Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), or health economic analytics within the pharmaceutical, biotech, diagnostics, or digital health sectors (or a comparable academic/consulting background).

• Advanced proficiency in at least two of the following: R, Python, SAS, STATA for statistical analysis and data management.

• Proven experience in designing and executing observational studies using claims or EMR data.

• Strong history of developing health economic models (Budget Impact Models, Cost-Effectiveness Analysis, cost-utility models).

• Record of peer-reviewed publications or equivalent demonstrated scientific output (abstracts, posters, dossier contributions).

• Strong analytical judgment with the ability to conduct rigorous analyses and communicate methodological choices effectively.

• Preferred: PhD in Epidemiology, Biostatistics, Health Economics, or a related field.

• Preferred: Previous experience in cardiac electrophysiology, digital diagnostics, or ambulatory monitoring.

• Preferred: Understanding of US reimbursement structures (CMS, Medicare Advantage, commercial payers) and their evidentiary requirements.

• Preferred: Experience with NCQA/HEDIS measure development or quality measurement frameworks.

• Preferred: Familiarity with data platforms such as Optum Clinformatics, IBM MarketScan, TriNetX, or Komodo Health.

• Preferred: Experience with Tableau or similar visualization platforms.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plans with company matching.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.