Real World Evidence Manager

Career-defining. Life-changing. 

At iRhythm, you’ll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what’s possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career

About This Role:

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. Reporting to the Senior Ditector, Global Value and Access Innovation, 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.
 

This role combines independent analytical execution with strong methodological rigor, carrying analytical workstreams from protocol through peer-reviewed dissemination. The RWE Manager serves as the primary programmer and model builder, producing analytical outputs that directly influence payer coverage decisions, health system contracting, and product strategy with secondary support for international (OUS) value and access workstreams.

Key Responsibilities

Real-World Evidence (RWE) Design & Execution

▪ 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.

Health Economic Modeling

▪ 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.

Statistical Programming & Data Infrastructure

▪ 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).

Scientific Communication & Publication

▪ 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.

Cross-Functional Leadership

▪ 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

Required

▪ 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.

Preferred

▪ 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.

Core Competencies

▪ Methodological Rigor: Applies advanced research methods with scientific independence and defensibility.

▪ Analytical Leadership: Drives analytical workstreams end-to-end with minimal supervision.

▪ Strategic Communication: Translates complex data into compelling, actionable insights.

▪ Cross-Functional Partnership: Works effectively with commercial, clinical, and policy stakeholders.

▪ Scientific Integrity: Upholds highest standards of research quality, reproducibility, and

Location:

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

As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.

iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our online system. If you need such an accommodation, you may contact us at [email protected]

About iRhythm Technologies
iRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm’s vision is to deliver better data, better insights, and better health for all.

Make iRhythm your path forward. Zio, the heart monitor that changed the game.

There have been instances where individuals not associated with iRhythm have impersonated iRhythm employees pretending to be involved in the iRhythm recruiting process, or created postings for positions that do not exist. Please note that all open positions will always be shown here on the iRhythm Careers page, and all communications regarding the application, interview and hiring process will come from a @irhythmtech.com email address. Please check any communications to be sure they come directly from @irhythmtech.com email address. If you believe you have been the victim of an imposter or want to confirm that the person you are communicating with is legitimate, please contact [email protected]. Written offers of employment will be extended in a formal offer letter from an @irhythmtech.com email address ONLY.

For more information, see https://www.ftc.gov/business-guidance/blog/2023/01/taking-ploy-out-employment-scams and https://www.ic3.gov/Media/Y2020/PSA200121