Project Manager, Research Analytics - RWE

1 Month ago • 4-6 Years • Project Management

Job Summary

Job Description

This role involves analyzing large datasets from electronic health records, claims, and registries, applying statistical methods to assess patient journeys, treatment outcomes, and healthcare utilization to provide key insights. Responsibilities also include developing study protocols, statistical analysis plans, and research proposals for observational and retrospective studies using real-world data. The position requires cross-functional collaboration with medical affairs, epidemiology, health economics, and commercial teams, along with excellent presentation skills.
Must have:
  • Analyse large datasets from sources like electronic health records, claims databases, and registries
  • Apply statistical methods to assess patient journey, treatment outcomes, and healthcare utilization
  • Capable to provide key insights and takeaways from data analysis
  • Develop protocols, statistical analysis plans, and research proposals
  • Conduct observational studies and retrospective analyses using real-world data
  • Work cross-functionally with medical affairs, epidemiology, health economics, and commercial teams
  • Possess excellent presentation skills

Job Details

Skills & Qualifications

  • Exp - 4-6 years in Real world data analysis
  • Qualification - Master’s/PhD in statistics, M. Tech, M. Pharma
  • Strong foundation in large database analysis, biostatistics, clinical trial, observational research and epidemiology
  • Experience with handling large databases like administrative claims, electronic health records, patient chart review,
  • Ability to manage multiple projects and deliver results under tight timelines
  • Excellent interpersonal skills and analytical thoughts

Tool & Platform Expertise

  • Healthcare coding system ICD9 and 10, HCPCS, CPT, NDC etc.
  • Use programming languages and tools such as SAS, R, R-Shiny, SQL, Python, Power BI
  • Familiarity with RWE platforms like AWS, SAGEMAKER, AZURE and data standards like CDISC

Core Responsibilities

  • Data Analysis & Interpretation
  • Analyse large datasets from sources like electronic health records, claims databases, and registries
  • Apply statistical methods to assess patient journey, treatment outcomes, and healthcare utilization and capable to provide key insights and takeaways
  • Study Design & Execution
  • Develop protocols, statistical analysis plans, and research proposals
  • Conduct observational studies and retrospective analyses using real-world data
  • Collaboration & Communication
  • Work cross-functionally with medical affairs, epidemiology, health economics, and commercial teams
  • Excellent presentation skills

Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

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