Bangalore, Karnataka, India – Cipla, a leading global pharmaceutical company, is seeking talented and driven freshers to join their team as Junior Statisticians. This exciting opportunity, posted on February 5, 2025, offers a chance to contribute to cutting-edge drug development and gain valuable experience in a dynamic environment.
As Cipla navigates the complexities of global competition and evolving regulatory requirements, the role of statistical thinking and methods has become increasingly crucial. The Junior Statistician will play a key role in ensuring the quality and efficacy of Cipla’s products.
What You’ll Do:
This role offers a diverse range of responsibilities, including:
- Life Cycle Management: Contributing to the Annual Product Quality Review.
- Statistical Innovation: Implementing new statistical concepts to improve processes.
- Problem Solving: Conducting Root Cause Analysis for investigations.
- Equipment Qualification: Applying Design of Experiments (DOE) concepts.
What You’ll Need:
Cipla is looking for candidates with:
- Strong communication skills in English and Hindi.
- Proficiency in data analysis and statistical applications.
- Ability to troubleshoot process-related issues.
- Familiarity with software like MINITAB, MS Office, SAS, and R-Language.
- A passion for learning and a collaborative spirit.
Why Cipla?
Cipla is a recognized leader in the pharmaceutical industry, committed to developing affordable and accessible medicines. This position offers a unique opportunity for fresh graduates to launch their careers in a challenging and rewarding field, contributing to improving global health.
How to Apply:
Interested candidates are encouraged to apply. To view more open positions kindly visit Cipla’s career portal. Don’t miss this chance to join a dynamic team and make a real difference!
Job Details at a Glance:
- Company: Cipla
- Role: Junior Team Member – Statistician
- Location: Bangalore, Karnataka, India
- Posting Date: February 5, 2025
- Req ID: 91348
- Salary: Competitive (Mention approximate range if known)
