Senior Statistician

Job Title: Senior Statistician

Location: Hyderabad

About The Job

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions.

As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of advanced statistical methodologies to drive manufacturing excellence and ensure product quality across our global network.

Our Global MSAT Statistical Support team acts as a cornerstone to this effort. We provide critical statistical expertise to all manufacturing sites worldwide, enabling data-driven decision making and continuous improvement. Our team members serve as trusted partners to manufacturing operations, quality assurance, and process development teams, delivering statistical insights that drive operational excellence and regulatory compliance.

Main Responsibilities

• Able to understand the business need (potentially translated from French), drive and conduct statistical analysis interacting with people having different cultures, different backgrounds (like pharmaceutical engineers)
• Designing and implementing statistical control charts to monitor and optimize manufacturing and analytical/quality control processes
• Conducting capability studies to assess process performance and identify improvement opportunities
• Leading statistical comparability analyses to ensure consistency across manufacturing sites and processes, to facilitate technology transfers, and compare suppliers performances
• Performing stability studies using linear and non-linear modeling approaches (i.e. thermokinetic models)
• Supporting method validation through robust statistical design and analysis
• Designing and analyzing experiments (DOE) to optimize process parameters and product quality
• Conducting exploratory statistical analyses to support manufacturing investigations and continuous improvement
• Performing various data analysis (mixed-effects model, MVDA, equivalence testing…) and modeling to meet customer needs
• Collaborating with cross-functional teams to translate statistical insights into actionable recommendations
• Delivering timely, actionable statistical reports and analyses to manufacturing sites worldwide, translating complex data into clear insights that address site-specific challenges while maintaining global quality standards.
• Understanding Statistical SOP and train colleagues to it
• Understanding Protocols and customers needs
  
  

• Experience: 5-7 years of experience in statistical analysis in pharmaceutical or manufacturing environments.
• Soft skills: Outstanding communication skills to convey complex statistical concepts to diverse audiences in a multicultural environment (in term of language - non-native English speakers- and background -not always related to statistics). Meticulous attention to detail and commitment to scientific rigor. Strong analytical mindset with the ability to propose innovative solutions. Strong analytical and synthesis skills. Forward-thinking with excellent anticipation of potential challenges. Methodical/organized/rigorous. Passion for standardization and harmonization of statistical approaches
• Technical skills: Proficiency in statistical software: Expert knowledge of statistical tools, programming skills on software like SAS, JMP, R, Python, or Dataiku. Statistical methodology: Strong foundation in statistical process control, experimental design, and multivariate analysis. Manufacturing knowledge: Understanding of pharmaceutical manufacturing processes and quality requirements. Regulatory knowledge: Familiarity with statistical aspects of pharmaceutical regulations and guidelines. Understanding of relational databases and familiarity with data management tools: MS SQL Server, MySQL and Snowflake. Data visualization: Experience creating compelling visual representations of complex data using Power BI, Streamlit, etc. Familiarity with Git/GitHub for version control.
• Education: Master's degree in Statistics
• Languages: Verbal and written fluency in English , French is a bonus