Senior Analyst, Observational Health Data Analytics, Epidemiology - Hyderabad
Johnson & Johnson (company site, opens in a new tab)4+ yrsHyderabadHybridDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Generate real-world evidence using large-scale healthcare data to answer scientific and business questions.
- Design and execute observational studies including clinical characterization, population-level effect estimation, and patient-level prediction.
- Develop and improve methods, standardized tools, and analytics software to support reproducible observational research.
Minimum Requirements
- MD or PhD with 2+ years epidemiology programming/research experience or Master’s in related discipline with 4+ years epidemiology/healthcare research experience.
- 2+ years of experience in statistical programming using R and/or SQL.
- 1+ year experience programming with large healthcare datasets (claims or EHR).
- 1+ year relevant healthcare industry experience (pharma, payer, provider, CRO, or research setting).
Ideal Candidate Profile
- Experienced in observational health data analytics within pharmaceutical or related healthcare research environments.
- Strong programming skills with epidemiologic and data science methods applied to large healthcare datasets.
- Capable of collaborating cross-functionally to design studies and improve analytic methods and tools for scalable evidence generation.