Skills & Qualifications

• 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