Job Description
Exp - 4-6 years in Real world data analysis
Qualification - Master's in statistics/B.Tech/M.Tech
Programming language competencies: SAS, R, SQL, Python
To work with a multidisciplinary team with responsibility of analyzing real world patient level data (healthcare claims data, electronic medical record data and other real world databases) using SAS and other data processing tools.
- Develop, implement and manage holistic strategies for realworld data analysis (analysis plan, business rules, programming, documentation, approval, monitoring and reporting), in collaboration with Life Sciences domain experts and other analysts.
- Expertise in healthcare coding system (ICD9 and 10, HCPCS, CPT, NDC etc.)
- Determine how data is structured and locate data elements of interest.
- Put together specifications to extract/transform data (Observation level transformation) into required formats for different analytical elements using SAS or other data processing tools.
- Analyze the output to present insights.
- Incorporate operational definitions and conceptual system designs to create algorithms to meet business reporting and analytics needs.
- Understanding of statistical techniques descriptive statistics, hypothesis testing, p-values, confidence intervals, Kaplan-Meier's analysis etc. is desirable
- Create the foundation for more sophisticated approaches to real world data analysis and advanced analytics where beneficial.
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. 
