Hiring for Leading companies /Biostatistics

Job Description:

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 new 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