Johnson & Johnson seeks a Senior Analyst for Observational Health Data Analytics within the Global Epidemiology team in Hyderabad. The role involves generating real-world evidence from large-scale healthcare datasets to support clinical and scientific research through characterization, population-level estimation, and patient-level prediction studies.

Responsibilities

Collaborate with colleagues to support observational research and evidence-generation initiatives
Support design and execution of observational analyses for characterization, effect estimation, and prediction
Contribute to study protocols, analysis plans, and technical documentation with cross-functional stakeholders
Execute analyses using standardized tools against internal and external observational data sources
Evaluate and improve analytical methods, processes, and best practices for real-world evidence generation

Requirements

MD or PhD with 2+ years epidemiology programming experience, OR Master's degree with 4+ years healthcare research experience
2+ years statistical programming in R and/or SQL database programming
1+ year experience programming against large healthcare datasets like claims or EHR
1+ year healthcare industry experience in pharmaceutical, payer, provider, or CRO settings
Experience with administrative claims data and electronic health records analysis
Strong written and verbal communication skills and English fluency
Ability to travel domestically and internationally up to 10% as needed

Senior Analyst, Observational Health Data Analytics, Epidemiology - Hyderabad

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