[Hiring] Real World Evidence Manager @iRhythm Technologies, Inc.

Role Description

The Real World Evidence Manager is a highly technical, hands-on research role that serves as an analytical engine for iRhythm’s RWE and health economics program. This individual manages the execution and quality of quantitative analyses that generate the clinical, economic, and real-world evidence underpinning the Zio platform’s value proposition to US payers and health systems.

• Manage the execution of retrospective and prospective RWE studies using claims data (Medicare, Medicaid, commercial), EMR/EHR data, and proprietary iRhythm clinical datasets.
• Operationalize study protocols, analytic plans, variable definitions, and statistical methodologies appropriate for payer and peer-reviewed audiences.
• Apply advanced epidemiological methods including propensity score matching, instrumental variables, difference-in-differences, interrupted time series, and survival analysis.
• Ensure reproducibility, auditability, and documentation of all analytical pipelines.
• Build and maintain sophisticated health economic models including budget impact models (BIMs), cost-effectiveness models, and payer decision-support tools.
• Translate clinical evidence into economic inputs with appropriate uncertainty characterization.
• Develop and update payer-facing economic tools that field and account teams can deploy in customer engagements.
• Conduct sensitivity analyses, scenario modeling, and probabilistic analyses (PSA) consistent with HTA standards.
• Serve as the primary statistical programmer for RWE and health economic projects, with proficiency in R, Python, SAS, or equivalent tools.
• Design and maintain analytical data infrastructure including datasets, codebooks, data dictionaries, and QC processes.
• Work with data vendors, CROs, and internal data science teams to access, clean, and validate data assets.
• Implement and maintain version-controlled analytical repositories (GitHub or equivalent).
• Prepare scientific abstracts, posters, and manuscripts for ISPOR, AMCP, ACC/AHA, HRS, and peer-reviewed journals.
• Translate complex analytical findings into clear, audience-appropriate formats for payer, clinical, and executive audiences.
• Co-author or contribute to health economic dossiers, coverage submissions, and payer value tools.
• Partner with Medical Affairs, Clinical Research, Commercial, and Payer Relations teams to align evidence generation with strategic priorities.
• Represent analytical workstreams in stakeholder engagements, as designated by the Director.
• Mentor interns and junior analysts on research methodology, data analysis, and scientific writing.

Qualifications

• Masters or doctoral degree (MS, MPH, PhD) in Health Economics, Epidemiology, Biostatistics, Public Health, or a highly quantitative related field.
• 3+ years of progressive experience in HEOR, RWE, or health economic analytics within the pharmaceutical, biotech, diagnostics, or digital health industry (or equivalent academic/consulting background).
• Expert-level proficiency in at least two of: R, Python, SAS, STATA for statistical analysis and data management.
• Demonstrated experience designing and executing observational studies using claims or EMR data.
• Strong track record of health economic model development (BIM, CEA, cost-utility models).
• Peer-reviewed publication record or equivalent demonstrated scientific output (abstracts, posters, dossier contributions).
• Strong analytical judgment and ability to execute rigorous analyses and communicate methodological choices clearly.

Requirements

• PhD in Epidemiology, Biostatistics, Health Economics, or related field.
• Prior experience in cardiac electrophysiology, digital diagnostics, or ambulatory monitoring.
• Familiarity with US reimbursement structures (CMS, Medicare Advantage, commercial payers) and their evidentiary requirements.
• Experience with NCQA/HEDIS measure development or quality measurement frameworks.
• Proficiency with data platforms such as Optum Clinformatics, IBM MarketScan, TriNetX, or Komodo Health.
• Tableau or equivalent visualization platform experience.

Benefits

• Remote - US
• Actual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.
• Estimated Pay Range: $115,000.00 - $149,000.00