Senior Statistical Analyst

5 hours ago

Kannur, Kerala, India beBeeStatistical Full time ₹ 30,00,000 - ₹ 50,00,000
Job Summary

We are seeking a skilled Senior Statistical Analyst to join our team. As a key member of the data analysis team, you will be responsible for delivering high-quality statistical programming support for multiple clinical projects using SAS.

This role requires strong analytical skills, expertise in statistical programming, and excellent communication skills to work effectively with cross-functional teams. If you have a passion for data analysis and want to make a meaningful impact in the field of clinical research, we encourage you to apply.

Key Responsibilities
  • Provide lead statistical programming support for multiple clinical research study projects or study teams.
  • Develop statistical programming methodologies using SAS (Base and Macros) and provide expert consultation to projects across the company.
  • Evaluate and implement sound statistical programming techniques required for clinical trials research that involve either CDISC standards and analysis data sets or production of standard and custom tables listings and figures.
  • Ensure regulatory compliance by delivering key deliverables based on established proficiency of regulatory requirements for clinical research E-submissions and/or study requirements for Sponsor, Regulatory, Investigator or Safety review meetings.
  • Develop well-documented, efficient, and high-quality code, conduct code review, and support cross-functional programming activities as needed.
Requirements
  • A bachelor's degree plus 4 years of experience as a statistical programmer in a pharmaceutical/CRO environment, education in a scientific discipline preferred.
  • Understanding of GCP principles and other regulatory standards (e.g., FDA, EMA, and ICH guidance and recommendations) in Clinical Research.
  • Strong analytical skills with the ability to process scientific and medical data.
  • Expertise in statistical programming skills in SAS, familiarity with R, Python, or other relevant statistical software considered beneficial.

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