Statistical Data Scientist - Injectables and Tech Transfer.
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Statistical Data Scientist - Injectables and Tech Transfer.
90,000–130,000 / Year
Location
Swiftwater, PA
Experience
Mid
Posted
Jul 7, 2026
Apply by
August 10, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
**Job Title:** Statistical Data Scientist - Injectables and Tech Transfer Manufacturing
- **Location**: Swiftwater, PA
**About the Job:**
As a **Statistical data Scientist - Injectables and Tech Transfer.** , you'll be on a mission to enable Injectables sites and tech transfer projects to reach operational excellence in process development and optimization through an AI & data-driven organization.
Ready to get started?
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.
We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.
**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:**
- Apply data science expertise to solve related problems using data-driven techniques (Machine Learning, statistics, text-mining/NLP, forecasting, etc.).
- Perform data analysis and visualization to assist with problem-solving and process optimization.
- Carry out Advanced Kinetic Stability (AKM) modelling analysis within the injectables and Tech Transfer platform.
- Support Digital Twin/ Process Modelling implementation and act as the DSD representative for Injectables and Tech Transfer projects.
- Deploy and sustain best practices in statistical approaches/modelling and utilisation across DSD Injectables network.
- Participate in the development of site statistical systems, and rollout of support across the DSD Injectables to upskill across the network.
- Provide oversight of the methods in which statistical expertise are applied to activities within the DSD Injectables.
**About You:**
- Bachelor’s degree in Statistics, Biostatistics, Computer Science, or Applied Mathematics, or any Similar and relevant field.
- Master's degree would be preferred.
- 3+ years of hands-on experience as a Statistician or Data Scientist in a GMP-regulated manufacturing environment. Academic or research experience may be considered if conducted within the pharmaceutical industry.
- Strong understanding of the application of statistics and data analytics within a manufacturing setting, with familiarity with regulatory statistical expectations.
- Proficient in statistical analysis packages, particularly Minitab and/or JMP, with solid problem-solving and data analytical skills.
- Knowledge of the various stages of sterile manufacturing, from process development through to inspection, packaging, and tech transfer.
- Proven ability to influence and communicate effectively across multidisciplinary and multicultural teams, with strong interpersonal skills.
- Flexible and adaptable, with the ability to prioritize and manage workload effectively in a fast-paced, dynamic environment.
**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
#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](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)!
*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:
$90.000,00 - $130.000,00
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](https://benefits.sanofiusallwell.com/fleet/public/index/ba511bf8-5c32-4828-9861-ab985fffab90/?cid=sanofi).
Key Responsibilities
- Apply data science expertise to solve problems using machine learning, statistics, and text-mining.
- Perform data analysis and visualization to assist with problem-solving and process optimization.
- Carry out Advanced Kinetic Stability (AKM) modelling analysis within the injectables and Tech Transfer platform.
- Support Digital Twin and Process Modelling implementation and act as the DSD representative.
- Deploy and sustain best practices in statistical approaches and modelling across the DSD Injectables network.
- Participate in the development of site statistical systems and rollout of support.
- Provide oversight of the methods in which statistical expertise are applied to activities.
Requirements
- Bachelor's degree in Statistics
- Biostatistics
- Computer Science
- or Applied Mathematics
Skills Required
Machine LearningStatisticsText-miningNLPForecastingMinitabJMPStatistical analysisData analyticsAdvanced Kinetic Stability (AKM) modellingDigital TwinProcess ModellingProblem-solvingData analytical skillsCommunicationInterpersonal skillsInfluenceAdaptabilityPrioritizationWorkload management
Benefits
- Healthcare
- Wellness programs
- Parental leave
- Career growth opportunities
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