At a Glance
- Tasks: Optimise processes and ensure product quality through advanced statistical analysis.
- Company: Join Galderma, a leader in innovation and patient outcomes.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and influence key decisions.
- Why this job: Tackle real manufacturing challenges and make a significant impact.
- Qualifications: Master’s or PhD in Statistics with 5+ years in pharma or biotech.
The predicted salary is between 60000 - 80000 £ per year.
Your Impact
You will play a key role in optimizing processes, ensuring product quality, and supporting critical technical decisions through advanced statistical analysis.
What You’ll Do
- Apply statistical methodologies (SPC, DOE, MVDA) to monitor and improve manufacturing processes, analytical methods and product stability profiles
- Design experiments and build models to optimize performance and reduce variability
- Support process validation, risk assessments, and regulatory submissions (FDA/EMA)
- Analyze complex datasets and translate results into clear, actionable insights
- Develop and document robust, reproducible statistical analyses
- Collaborate closely with engineers, scientists, and MS&T teams
- Communicate findings effectively to both technical and non-technical stakeholders
What You Bring
- Master’s or PhD in Statistics, Mathematics, or related field
- 5+ years’ experience in pharma, biotech, or advanced manufacturing
- Strong expertise in R, Python, SAS, JMP, Minitab or similar tools
- Solid experience with DOE, SPC, process validation, and data modelling
- Strong analytical mindset and ability to work with complex datasets
- Excellent communication, technical writing, and presentation skills
Why Join Galderma?
- Work on real manufacturing challenges with high impact
- Influence decisions that improve quality, efficiency, and performance at scale
- Collaborate across science, engineering, and operations
- Be part of a company committed to innovation and patient outcomes
We think you need these skills to ace Statistician Product Science and MS&T
Statistical Methodologies
SPC
DOE
MVDA
Data Analysis
Process Validation
Risk Assessments
