Typical Minimum Requirements
- Requires 5+ years of relevant research/clinical/healthcare experience (2 less years required with PhD)
- Master’s degree in Statistics / Biostatistics or Applied Statistics
- Ph.D. preferred

Key Responsibilities
- Evaluates research concepts to develop appropriate statistical methods of analysis
- Reviews protocols, writes statistical sections and Statistical Analysis Plans (SAPs) for assigned studies
- Determines methods of statistical analysis and applies statistical techniques to determine measures of central tendency, correlation, sample size, significance of difference, etc.
- Reviews CRFs and ensures complete data collection for analysis
- Runs randomization lists
- Prepares tables, charts, and graphs showing the results of statistical analysis
- Performs specialized statistical analysis involving correlation equations for multi-factorial variances and regression equations.
- Discusses study conduct and results with physicians and sponsors




- Detailed knowledge of SAS programming and procedures and other statistical software; writes edit checks in SAS; validates SAS programs
- Responsible for data transfer
- Ability to provide technical solutions to a wide range of difficult problems
- Works with research staff to resolve issues regarding data capture, accuracy, and completeness
- Assists in the development of recent statistical tools and modelling protocols
- Documents methods, instructions and rules for implementing new techniques and research tools
- Develops standard data quality review checks and validation procedures
- Designs predictive modelling programming for evaluating health outcomes, utilization, and costs
- Produces standard error analysis routines and protocols (missing data & data errors checks)
- Diversifies research techniques, by producing mixed qualitative-quantitative approaches to evaluating EHRs.
- Reviews and contributes towards completion of abstracts, posters, presentations, and manuscripts by writing the s

📌 Biostats (India)
🏢 Cognizant
📍 India