At a Glance
- Tasks: Use advanced statistics to optimise processes and ensure product quality.
- Company: Join Galderma, a leader in dermatology with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for growth.
- Other info: Collaborate with experts and influence key technical decisions.
- Why this job: Make a real impact on manufacturing challenges and patient outcomes.
- Qualifications: Master’s or PhD in Statistics with 5+ years in pharma or biotech.
The predicted salary is between 60000 - 80000 £ per year.
About Galderma
Galderma is a leading dermatology company that delivers science‑based products and services across injectable aesthetics, dermatological skincare and therapeutic dermatology.
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.
Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee.
Statistician Product Science and MS&T London employer: Galderma
Galderma is an exceptional employer that fosters a collaborative and innovative work culture, where statisticians play a pivotal role in enhancing product quality and manufacturing processes. Located in vibrant London, employees benefit from diverse growth opportunities, competitive compensation, and the chance to make a significant impact on patient outcomes through science-based solutions. Join us to be part of a team that values diversity and empowers you to influence critical decisions in the dermatology field.
StudySmarter Expert Advice🤫
We think this is how you could land Statistician Product Science and MS&T London
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend relevant events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your statistical skills. We recommend using real-world examples from your experience to demonstrate how you’ve tackled challenges in the past.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar. We believe persistence pays off!
✨Tip Number 4
Make sure to tailor your approach for each role. Highlight your relevant experience with statistical methodologies and tools like R or Python. We’re all about making your application stand out, so let’s show them what you’ve got!
We think you need these skills to ace Statistician Product Science and MS&T London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Statistician role. Highlight your experience with statistical methodologies like SPC and DOE, and don’t forget to mention your expertise in tools like R or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of our work at Galderma.
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical mindset. Provide examples of how you've tackled complex datasets and translated them into actionable insights. We’re keen on seeing your problem-solving abilities in action!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Galderma and our values.
How to prepare for a job interview at Galderma
✨Know Your Stats
Brush up on your statistical methodologies like SPC, DOE, and MVDA. Be ready to discuss how you've applied these in past roles, especially in pharma or biotech settings. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Analytical Skills
Prepare to talk about complex datasets you've worked with. Bring examples of how you translated data into actionable insights. This is crucial for the role, so make sure you can clearly explain your thought process and the impact of your findings.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining your analyses in simple terms. Think of ways to convey complex ideas clearly and concisely, as this will demonstrate your ability to bridge the gap between different teams.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams. Be prepared to discuss how you've collaborated with engineers and scientists in the past. This shows that you're not just a lone wolf but someone who thrives in a team environment, which is key for this role.
