Principal Scientist - CMC Statistician

About The Job

As part of the development of Sanofis pharmaceutical products, the R&D Data Sciences department and more specifically the Statistics department for the Chemical Manufacturing Control (CMC) is responsible for contributing to statistical support, modelling, digitalization, decision-making and filing of new product registration files. As a CMC Statistician within our Data Sciences/CMC Statistics, you'll be supporting the CMC activities for process, analytical methods and formulation development, for several CMC sites in the world.

Main Responsibilities

• Provide statistical support to CMC scientists for process development, ensuring reliability and scientific quality
• Deliver statistical expertise for experimental design, data analysis, and interpretation of results
• Perform statistical analyses using R, SAS, Python, JMP, SIMCA, Modde, and other Sanofi statistical tools
• Prepare statistical reports, memos, and presentations for project teams and stakeholders
• Design and analyze complex or critical studies intended for Health Authorities
• Write statistical study reports in compliance with internal policies, external guidelines, and regulatory standards
• Serve as the CMC statistics contact and local interface between the CMC Statistics group and related functions
• Promote statistical thinking and culture within laboratories through training on methodology and tools
• Support and train customers on validated statistical applications and methodologies
• Develop state-of-the-art statistical methodologies and participate in internal technical working groups and statistician networks

About You

• Basic Qualifications:
• Education: PhD in Statistics, CMC Statistics, Industrial Statistics, Applied Mathematics, Data Science, Computational Biology, Bioinformatics, or related scientific field. OR Master's degree in any of the above fields.
• Experience: Minimum 3 years (PhD) or 6 years (Master's) of experience as a Statistician in CMC (Chemistry, Manufacturing and Control) studies/activities, industrial statistics, manufacturing, or closely related fields such as cosmetics or food industry. Academic or research experience may be considered but industry experience is preferred.
• Knowledge: Expertise in industrial statistics including Design of Experiments (DoE), multivariate data analysis, or statistical modeling. Proficiency in statistical software applications, such as R or JMP; experience with SAS or Python is a plus.
• Preferred Qualifications:
• Good knowledge of pharmaceutical development processes
• Experience in performing complex exploratory statistical analyses
• Experience in supporting analyses for regulatory filings and addressing Health Authority questions
• Experience with statistical science applications, such as linear/non-linear models, design of experiments (DoE), statistical tests, multivariate analysis, control charts, modeling, etc.
• Able to work in a departmental computing environment and perform advanced statistical analyses using programming code such as R/RShiny, SAS, Python, or statistical software such as JMP, SIMCA, MODDE
• Demonstrate interpersonal and communication skills necessary for effective teamwork
• Scientific rigor and demonstrated level of independence to run statistical work packages
• Contribute to developing state-of-the-art methodologies and statistical approaches on a variety of subjects needed for his/her field(s) of expertise, in partnership with other statisticians from the team and other groups of statisticians when appropriate.
• Participate in internal technical working groups and networks of statisticians
• Excellent understanding of processes associated with CMC and GMP quality concepts used in pharmaceutical development and production
• Knowledge of CMC regulatory guidelines (EMA, FDA, ICH Quality, Pharmacopoeias), QbD principles, and ability to prepare statistical analyses for regulatory dossiers

Why Choose Us

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether its through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave.
• Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.
• Help improve the lives of millions of people globally by making drug development quicker and more effective.
• Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.