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 new statistical tools and modelling protocols

- Documents methods, instructions and rules for implementing recent 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 statistical sections, checking results and reviewing content

- Previous interaction with FDA submission is desired; experience in design and/or analysis of surveys a plus

Critical Skills

- Advanced SAS programming skills for data manipulation (macros, proc SQL, data and proc steps, merging, use of first & last from proc sort, removal of duplicates, running totals, merging, use of arrays, proc template, knowledge of the output delivery system (ODS), etc.).

- Ability to create and work with multiple data sources and large datasets (millions of records).

- Basic applied statistical skills (Chi-square tests, Fisher’s exact test, t-tests, Wilcoxon rank sum tests, paired tests, linear & logistic regression, Cox proportional hazards regression, Kaplan Meier survival plots)

- Performs survival analysis, mixed model and/or combined qualitative-quantitative analytic techniques and related research tools.

- Modelling with count data (Poisson and negative binomial regression)

- Modelling with skewed data (survival and cost data)

- Excellent written and oral communication skills. Ability to clearly explain and define algorithm rules.

- Ability to clearly explain and write statistical results in easy to understand terms.

- Excellent time management skills and ability to prioritize. Must be able to make necessary decisions to meet deadlines.

- Ability to work in a fast-paced team environment. Positive attitude in an ever-changing environment is a must

📌 Biostats (India)
🏢 Cognizant
📍 India