Data Science Manager - Process Analytics at Sanofi

Pocono Township, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

112666.66

Posted On

23 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Design of Experiment, Statistical Process Control, Applied Statistics, Process Analytics, Quality by Design, Process Validation, Data Interpretation, Process Control, cGMP, Collaboration, Statistical Thinking, Gap Analysis

Industry

Pharmaceutical Manufacturing

Description

Job Title: Data Science Manager - Process Analytics Location: Swiftwater, PA About the Job As Data Science Manager Process Analytics within the international Manufacturing Science, Analytics and Technology (MSAT) Data Science Flu team, you’ll help providing deep insights into Flu vaccine manufacturing process performance and robustness. The mission of MSAT is to deliver robust and efficient processes and analytics with associated know-how transfer to Manufacturing & Supply and Quality Control (QC). MSAT teams also provide daily support, for Manufacturing, Continuous Improvement and QC, striving for industrial performance excellence. Join a global network that powers how Sanofi delivers, seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster. About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. Main Responsibilities Contribute to the definition of critical process attributes for process validation. Communicate and interpret documented study results within the platform or project. Implement instruction on new/improved processes to appropriate audience. Facilitates the use of statistical thinking promoting the concepts that: all work occurs in a system of interconnected processes, variation exists on all processes, understanding and reducing variation are keys to success. Drive design space concept through the optimal use of design of experiment and interpretation of data. Knowledge of Design of Experiment (DOE), Statistical Process Control (SPC), Process Control and Applied Statistics. Facilitate statistical process control related training for Manufacturing & Supply personnel. Promotes application of Statistical Process Control for life-cycle design and industrialization of processes, products and associated test methods for Phase 3 and licensed products to assure commercialization of robust, compliant, and efficient processes and test methods for vaccines and biopharmaceuticals. Technical input and/or gap analysis of internal and external Quality/Regulatory guidelines pertaining to process control. About You Basic Qualifications: PhD or Master of Science in Statistics, Applied Mathematics, Computer Science or another related technical field. 1+ years of relevant experience, including academic research, internships, or industry experience: Knowledgeable in quality by design, process control, and design of experiments. Experience in collaborating with process development, manufacturing, process engineering, quality or regulatory personnel Experience in working in teams. Highly Preferred: Knowledge of cGMP, Health and Safety, and all other applicable regulations. 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 it’s 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. Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply. Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale Transform lives worldwide by delivering life-changing treatments anywhere, anytime. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SG #LI-GZ #LI-Onsite #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $78.000,00 - $112.666,66 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK. Global Terms & Conditions and Data Privacy Statement We are an R&D driven, AI-powered biopharma company committed to improving people’s lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people’s lives. We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi Start a career that makes a difference. Reinvention is in our DNA. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities. This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.

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Responsibilities

The role focuses on providing deep insights into vaccine manufacturing process performance and robustness using statistical tools. Key duties include defining critical process attributes, driving design space concepts, and facilitating SPC training for personnel.