Location: Hyderabad, India
Company: Sanofi
Job Type: Full-Time | Regular
Application Deadline: 15 May 2026
Experience Required: 2–5 Years (Not suitable for freshers)
About the Company
Sanofi is a leading global healthcare organization dedicated to transforming scientific innovation into life-changing therapies. With a strong presence across vaccines, oncology, rare diseases, immunology, and cardiovascular care, Sanofi is at the forefront of advancing data-driven pharmaceutical manufacturing and quality excellence worldwide.
Role Overview
The Statistician will be part of the Global MSAT (Manufacturing Science and Technology) Statistical Support team, playing a critical role in enhancing manufacturing efficiency, product quality, and regulatory compliance through advanced statistical methodologies.
This position offers global exposure, working closely with manufacturing sites, quality teams, and process development experts to drive data-driven decision-making across the pharmaceutical value chain.
Key Responsibilities
Perform statistical analysis aligned with business and manufacturing needs across global sites
Design and implement statistical process control (SPC) charts for monitoring manufacturing and quality control processes
Conduct process capability studies to evaluate performance and identify optimization opportunities
Lead statistical comparability assessments for technology transfers and supplier evaluations
Perform stability analysis using linear and non-linear modeling techniques, including thermokinetic models
Support analytical method validation through robust statistical design and interpretation
Design and analyze experiments (DOE) to optimize product quality and process parameters
Apply advanced statistical techniques including mixed-effects models, multivariate data analysis (MVDA), and equivalence testing
Deliver clear, actionable insights from complex datasets to cross-functional stakeholders
Ensure compliance with statistical SOPs, regulatory guidelines, and global quality standards
Train internal teams on statistical methodologies and best practices
Required Qualifications
Education:
Master’s degree in Statistics or Biostatistics
Experience:
2 to 5 years of experience in statistical analysis within pharmaceutical, biotech, or manufacturing environments
Technical Skills:
Strong expertise in statistical tools such as SAS, R, Python, JMP, or Dataiku
In-depth knowledge of statistical process control, DOE, and multivariate analysis
Understanding of pharmaceutical manufacturing processes and regulatory frameworks
Additional Skills (Preferred):
Experience with databases such as MS SQL Server, MySQL, or Snowflake
Data visualization skills using tools like Power BI or Streamlit
Familiarity with Git/GitHub for version control
Soft Skills:
Excellent communication skills to explain complex statistical concepts to non-statistical stakeholders
Strong analytical thinking with attention to detail and scientific rigor
Ability to work in multicultural, cross-functional global teams
Proactive mindset with problem-solving capabilities
Languages:
Fluency in English (French is an added advantage)
Why Join This Role
Work with a globally recognized pharmaceutical leader
Contribute to cutting-edge manufacturing and quality innovation
Gain international exposure across multiple manufacturing sites
Be part of a high-impact, data-driven scientific environment
Important Note for Applicants
This role requires prior hands-on experience in statistical analysis within pharmaceutical or manufacturing domains. Freshers are advised to apply for entry-level roles such as Junior Statistician, Data Analyst, or Biostatistics Trainee positions before targeting mid-level roles like this.
Equal Opportunity Statement
Sanofi is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive equal consideration regardless of background or identity.
How to Apply
Interested candidates can apply through the official careers portal. For more verified pharmaceutical and clinical research job opportunities, visit ThePharmaDaily.com
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