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Typical Minimum Requirements

 Requires 6+ years of relevant research/clinical/healthcare

 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 modeling protocols

 Documents methods, instructions and rules for implementing recent techniques and research tools

 Develops standard data quality review checks and validation procedures

 Designs predictive modeling 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.

 Modeling with count data (Poisson and negative binomial regression)

 Modeling 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

📌 Hiring for Leading companies /Biostatistics (India)
🏢 Acura Solution
📍 India