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Senior Analyst- Epidemiologist, Real-World Evidence (RWE)

Senior Analyst- Epidemiologist, Real-World Evidence (RWE)

ConfidentialBengaluru / Bangalore
6 days ago
Job description
  • Lead design and execution of RWE studies in close collaboration with internal stakeholders from Clinical Strategy, Medical Affairs, and Clinical Data Science.
  • Author and / or oversee development of study protocols, reports, conference abstracts, and peer-reviewed publications using RWD and collaborate cross-functionally to integrate RWD into global publication strategies
  • Ensure scientific rigor and serve as a methodology expert for real-world evidence generation; select and implement appropriate analytic methods aligned to research needs
  • Collaborate closely with data management and biostatistics functions to ensure data quality and deliver robust data analyses utilizing scientifically valid and accepted methodology for RWD
  • Conduct feasibility assessment of relevant data sources for specific devices and indications to ensure data is fit-for-purpose
  • Identify and evaluate new RWD sources
  • Ensure quality and performance standards for RWE projects are realistic and attained, and studies are conducted in line with quality / compliance framework
  • Identifies areas of improvement with RWE processes and procedures, develops and implements best practices, and works to improve efficiencies and effectiveness. Participate in cross-functional and cross-divisional initiatives regarding RWE
  • What you need :

    • 3-6 years relevant experience in epidemiology and / or observational research in academia, a contract research organization, and / or the medical device or pharmaceutical industry
    • Hands-on experience with real-world data (RWD) sets such as patient registries, electronic medical records, hospital billing data, and insurance claims databases and familiarity with relevant medical coding vocabularies (e.g., ICD, CPT, HCPCS, LOINC)
    • A sophisticated understanding and ability to analyze and interpret quantitative data is required together with working knowledge of RWE / observational study design and methodology
    • Experience using standard statistical software (e.g., SAS, R, Stata) and / or demonstrated ability to collaborate closely with statistical programmers; understanding of advanced statistical methods utilized for RWD analysis (e.g., propensity score matching)
    • Excellent oral and written communication skills, experience authoring study protocols, study reports, and peer-reviewed publications using RWD preferred
    • Strong organizational skills, with ability to effectively and efficiently handle multiple tasks simultaneously, with precision, and to adapt to changes in responsibilities and workloads
    • Must be professional, possess a high degree of urgency and self-motivation, and have a strong work ethic
    • Must possess a high degree of integrity and ability to maintain confidentiality with HIPAA and GDPR guidelines, and other confidential information
    • Skills Required

      Statistical Analysis, Data Modeling, Sas Programming, R Programming, biostatistics

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