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Real World Evidence Analyst Ii

1-3 years
Not Disclosed
10 April 10, 2025
Job Description
Job Type: Full Time Education: B.Sc./M.Sc/B.Pharm/M.Pharm/Life Science Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Real World Evidence Analyst II
Location: Bangalore
Category: Data Management & Data Science
Job ID: 2439444

Summary of Responsibilities:

  • Provide programming support for analyzing real-world data from:

    • Medical and pharmacy claims

    • Hospital records

    • Electronic medical records

    • Prospective observational studies

  • Contribute to the development of programming specifications based on analysis requirements and data sources.

  • Develop and validate analysis datasets from various internal and external file formats.

  • Create and validate graphs and tables for exploratory data analysis, adapting to changes in requirements.

  • Ensure high quality in programming datasets, tables, listings, and figures, including validation.

  • Support documentation for all assigned deliverables.

  • Provide accurate and timely status updates to project leads and team members.

  • Participate in departmental meetings to share knowledge and best practices.

  • Identify opportunities to improve productivity, quality, and efficiency in programming workflows.

  • Perform other related duties as assigned.


Experience (Minimum Required):

  • 1–3 years of experience in Real World Evidence (RWE) analysis within a CRO or pharmaceutical industry, or equivalent combination of education and experience.

  • Hands-on experience with Electronic Health Records (EHR) or Claims databases (e.g., Optum, Marketscan, Flatiron).

  • Proficiency in SAS and SQL programming.