TA

R Biostatistical Programmer Role

Tata Consultancy Services Limited
Bangalore5-8 LPA Posted 19 Mar 2025
FULL TIME
R Programming
Data Visualization
Clinical Trials
Sql
Data Management
+4 more

Job Description

Description

We are seeking a skilled R Biostatistical Programmer to join our dynamic team in India. The ideal candidate will have 2-8 years of experience in statistical programming, specifically in the pharmaceutical or biotechnology sectors, and will play a crucial role in supporting clinical trials and research studies through rigorous data analysis and statistical reporting.

Responsibilities

  • Develop and maintain statistical programming code in R for clinical trials and research studies.
  • Generate and validate statistical outputs including tables, listings, and figures for clinical study reports.
  • Collaborate with biostatisticians and data managers to ensure accurate and timely delivery of data analyses.
  • Participate in the preparation of statistical analysis plans and contribute to protocol development.
  • Ensure compliance with regulatory requirements and internal standard operating procedures (SOPs).
  • Perform quality control checks on statistical outputs and programming code.
  • Document programming processes and maintain effective communication with team members.

Skills and Qualifications

  • 2-8 years of experience in statistical programming, preferably in the pharmaceutical or biotechnology industry.
  • Proficiency in R programming language and its statistical packages.
  • Strong understanding of clinical trial methodologies and biostatistical concepts.
  • Experience with data manipulation and analysis in R, including data wrangling with packages such as dplyr and tidyr.
  • Knowledge of SAS or other programming languages is a plus.
  • Familiarity with regulatory guidelines (e.g., ICH, FDA) related to statistical programming and clinical trials.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication skills, both written and verbal, to convey complex statistical information clearly.