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Location

Chennai | India

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Job description

Biostatistician - DA, TL & TM , SDM

Dear Applicant,

Hiring for Biostatistician - DA, TL & TM , SDM

Location - Pan India

Work from office

US Night shifts

Data Analyst : 3+yrs of exp in Biostatistician , ctc upto 16lpa
Team lead : Minimum 5+yrs of exp in Biostatistician , ctc upto 22lpa

Team Manager : 6+yrs of exp in Biostatistician , ctc upto 30lpa

SDM : 10yrs of exp in Biostatistician , ctc upto 40lpa

Requires 5+ years of relevant research/clinical/healthcare experience (2 less years required with PhD)
Masters degree in Statistics / Biostatistics or Applied Statistics
Ph.D. preferred
Skills : Biostistician Mock Shell, Statistical analysis, Modelling table, Biostatistician, Linear regression. Logistic regression, T test knowledge, Anova knowledge, Ancova knowledge

Key Responsibilities

Preparation & Review of Sap & Mock shell

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 , 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, Fishers 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
Interested candidates contact HR Umme @8655884775 / [HIDDEN TEXT]

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