Statistical Programmer - India - Akkodis

Akkodis

Verified Company

India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

An experienced statistical programmer with a strong background in the Life
Sciences industry.

Skilled in data analysis, statistical modeling, and programming, with a proven

track record of contributing to the successful execution of clinical trials and
research projects.

Committed to maintaining the highest standards of data quality, regulatory

compliance, and efficiency in statistical programming.

Provides statistical programming expertise to deliver high quality
Develop Analysis Data Model (ADaM) datasets Develop (Tables, Figures and Listings (TFL)
Output and Programming Specification [ OPS ]

from the Statistical Analysis Plan [
SAP ] or a related document

-
Program and validate:

- standard ADaM
- utility Statistical Analysis Software [ SAS ] macros or R function/package
following good programming practices

 Statistical Programming
:
Proficient in SAS, R, and other statistical software.
 Clinical Trials:
Extensive experience in clinical trial design, analysis, and reporting.
 Data Management
:
Data validation, cleaning, and integration.

 Regulatory Compliance:

Knowledge of FDA and EMA guidelines.
Programming Languages
:
SAS, R, Python.

 Statistical Analysis:
Data modeling, hypothesis testing, and statistical inference.
 Data Visualization:
G
enerating graphs, charts, and visual representations of data.
 Team Collaboration:
Effective communication and teamwork in cross functional
environments.
 Problem Solving:
Analyzing complex data challenges and finding innovative
solutions.

Statistical Programming:
Proficient in SAS, R, and other statistical software.
 Clinical Trials:
Extensive experience in clinical trial design, analysis, and reporting.
 Data Management:
Data validation, cleaning, and integration.
 Regulatory Compliance:
Knowledge of FDA and EMA guidelines.

Programming Languages:
SAS, R, Python.

 Statistical Analysis:
Data modeling, hypothesis testing, and statistical inference.
 Data Visualization:
Generating graphs, charts, and visual representations of data.
 Team Collaboration:
Effective communication and teamwork in cross functional
environments.
 Problem Solving:
Analyzing complex data challenges and finding innovative
solutions.