Real World Evidence Manager

🕒 il y a 25 jours

🇺🇸 États-Unis – Télétravail

💵 $115 000 - $149 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👔 Manager

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

iRhythm Technologies, Inc.

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2006

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

iRhythm Technologies, Inc. est une entreprise de technologies médicales spécialisée dans les solutions de surveillance cardiaque. Leur produit phare, le moniteur ECG Zio, est conçu pour le confort et la compliance du patient, permettant aux prestataires de soins de santé de fournir des diagnostics d'arythmie précis grâce à une analyse de données avancée et à l'IA. Le service complet d'iRhythm transforme l'expérience de surveillance cardiaque, facilitant de meilleurs résultats pour les patients et des flux de travail efficaces pour les professionnels de santé à travers le monde.

Description

• Manage the execution of retrospective and prospective RWE studies using claims data, EMR/EHR data, and proprietary iRhythm clinical datasets • Operationalize study protocols, analytic plans, variable definitions, and statistical methodologies • 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 analytical pipelines • Build and maintain budget impact models, 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 for customer engagements • Conduct sensitivity analyses, scenario modeling, and probabilistic analyses consistent with HTA standards • Serve as the primary statistical programmer for RWE and health economic projects • 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 • Prepare scientific abstracts, posters, and manuscripts for conferences and peer-reviewed journals • Translate complex analytical findings 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 • Represent analytical workstreams in stakeholder engagements • Mentor interns and junior analysts on research methodology, data analysis, and scientific writing

🎯 Exigences

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