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Specialized RWE skills and senior 8–10 years reduce competition despite metro location.
Highly domain-specific RWE, healthcare data sources, and coding systems limit cross-industry transferability.
Explicit 8–10 years and many mandatory RWE, biostatistics, and SAS/R requirements.
Lead design and execution of Real World Evidence (RWE) studies using diverse healthcare datasets including claims, EHR, and registries.
Develop and maintain statistical programming, data extraction, transformation, and analysis pipelines to support patient outcomes and safety research.
Contribute to protocol development and statistical analysis plans with strong focus on data quality and adherence to evolving RWE best practices.
8-10 years of professional experience in statistical programming/analysis for RWE studies.
Strong programming skills in SAS or R mandatory; experience with healthcare data sources such as OPTUM CDM, PharMetrics, Flatiron, Concert AI, TriNetx, SEER.
Solid biostatistics foundation and ability to support study design, statistical modeling, and interpretation for longitudinal and safety studies.
Work Location: Bangalore or Hyderabad, India.
Experienced in managing end-to-end RWE study design and execution within healthcare domain, especially in longitudinal and patient safety studies.
Proficient in handling and analyzing complex healthcare real-world data using statistical programming and maintaining data quality.
Skilled in cross-functional collaboration to contribute to protocol and analysis plan development, with a strong understanding of healthcare coding systems (ICD, CPT, NDC).