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Senior, niche RWE role with strong domain filtering reduces applicant competition.
Role requires specialized RWE/healthcare analytics expertise tied to pharma, limiting cross-industry transferability.
Explicit 10+ years, advanced degree, and mandatory technical and domain skills create strict shortlisting.
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Lead and execute Real-World Evidence (RWE) research analytics projects ensuring high-quality deliverables and timeline adherence.
Integrate and analyze multiple real-world data sources such as medical claims, EHRs, pharmacy claims, and clinical trial data for evidence generation.
Prepare technical reports, statistical analysis documentation, and client presentations communicating complex analytical insights effectively.
Minimum 10 years of experience in Real-World Evidence (RWE), healthcare analytics, or related field with at least 6 years relevant to RWE, epidemiology, biostatistics, or healthcare analytics.
Master's degree in Biostatistics, Data Science, Epidemiology, Computer Science, Mathematics, or related quantitative discipline.
Proficiency in programming languages: SAS, R, Python, and SQL for data extraction, transformation, analysis, and reporting.
Experience working with diverse real-world data sources including medical claims, EHRs, pharmacy claims, disease registries, healthcare surveys, and clinical trial data.
Operates independently managing multiple projects with minimal supervision, delivering high-quality, timely outputs with effective risk management.
Experienced in preparing scientific publications and technical documentation for both technical and non-technical stakeholders.
Skilled in combining multiple healthcare data sources and applying advanced analytics to generate actionable insights supporting pharmaceutical and healthcare decision-making.