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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