Cipla Career: Chemical Engineering Job | Apply Now for Junior Team Member
Are you looking for advanced Statistician Jobs in the pharmaceutical industry? Cipla Careers offers an excellent opportunity for a Junior Team Member – Statistician in Goa to support global manufacturing, development, and quality functions through advanced statistical analysis. This role is ideal for professionals seeking growth-oriented Chemical Engineering Jobs, Quality Assurance Jobs, and Pharma Statistics Jobs, with exposure to APQR, CPV, stability, validation, and data-driven decision-making across Cipla’s global manufacturing sites.
About Cipla
Cipla is a globally respected pharmaceutical company with a strong commitment to quality, innovation, and patient-centric healthcare. With a wide network of global manufacturing sites, Cipla emphasizes data-driven decision-making, regulatory compliance, and continuous improvement. Through diverse opportunities under Cipla Careers, professionals can explore impactful Statistician Jobs, Chemical Engineering Jobs, and Quality Assurance Jobs, contributing directly to manufacturing excellence, product quality, and global healthcare outcomes.
Job Details
- Job Posting: Junior Team Member – Statistician
- Location: Goa
- Req Id: 100192
Job Purpose
The Statistician role is responsible for understanding complex manufacturing, development, and quality-related problems, articulating them in clear non-statistical terms, and proposing data-driven solutions without regulatory citations. The role involves preparation and review of statistical assessment reports and justifications for manufacturing, product development, and quality data, including APQR, CPV, stability, and validation activities across Cipla global sites. This position enables strong collaboration with cross-functional teams, including Manufacturing, Quality Assurance Jobs, Regulatory Affairs, and Development teams, making it well-suited for professionals from statistics and chemical engineering backgrounds.
Key Accountabilities
Global Statistical Support
Provide global-level statistical support through preparation and review of statistical reports for all Cipla manufacturing sites. Support life cycle management activities such as Annual Product Quality Review (APQR) by providing statistical inputs when process performance shows low or inadequate capability. Assist unit APQR teams in preparing statistical analysis, trends, and graphical representations.
Implementation of Statistical Concepts and Investigations
Implement new statistical concepts to overcome departures observed during validation batches. Provide statistical justification for deviations, OOS, and OOT investigations in collaboration with Manufacturing and Quality Assurance teams, supporting regulatory-compliant decision-making.
Establishment of Limits and Training
Establish alert limits, frequency limits, and trend limits for critical process parameters and environmental monitoring data across Cipla sites. Conduct internal training on pharmaceutical statistics, statistical process monitoring, and shelf-life analysis for APQR, CPV, Validation, and Quality Assurance teams, using practical and real-time examples.
DOE, Data Visualization, and Dashboards
Apply Design of Experiments (DOE) concepts during equipment and machine qualification, aligning closely with Chemical Engineering Jobs and process optimization activities. Develop data visualization tools, dashboards, and statistical reports to enhance quality oversight, productivity, and process understanding within Cipla’s statistics function.
Education Qualification: M.Sc., in Statistics/master’s in chemical Eng. or Other data/statistics relevant post-graduate degree.
Relevant Work Experience
- M.Sc., in Statistics/master’s in chemical Eng or Other data/statistics relevant post-graduate degree with a minimum 2-3 Years of Experience in application of statistical/data science/analytics tools in the pharmaceutical industry, especially in pharma manufacturing and development, desirable to have pharmaceutical industry experience.
- Data Science, Analytics, Visual Dashboards creation, Lean Six Sigma, Good Communication Skills, well-versed with data analysis and statistical applications, and troubleshooting during the Pharma Manufacturing process.
- Software applications required: MINITAB (experience compulsory), JMP, MS Office, MS SharePoint, Power BI, and Python/R or any other Statistical software.
