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- Tasks: Support CMC projects by analysing complex manufacturing data for product quality and compliance.
- Company: Leading pharmaceutical company focused on innovative drug development.
- Benefits: Competitive salary, health benefits, flexible working options, and career advancement opportunities.
- Other info: Opportunity to work with cutting-edge statistical methodologies and contribute to meaningful projects.
- Why this job: Join a dynamic team and make a real impact in the pharmaceutical industry.
- Qualifications: 2+ years in CMC projects, strong R programming skills, and excellent collaboration abilities.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly motivated Biostatistician to support CMC projects across the drug development lifecycle. The ideal candidate will have a strong foundation in statistical methodologies and programming and will play a critical role in analyzing complex manufacturing data to ensure product quality, consistency, and regulatory compliance.
Responsibilities
- Provide statistical support for CMC-related studies, including formulation development, stability studies, process validation, and analytical method validation.
- Collaborate with cross-functional teams, including analytical scientists, process engineers, and regulatory affairs, to develop and implement appropriate statistical strategies.
- Design and analyze experiments using linear mixed models, particularly for stability and variability analyses.
- Perform statistical modeling, data visualization, and simulations using R programming.
- Ensure quality and compliance with internal standards and regulatory guidelines (e.g., FDA, EMA, ICH).
Qualifications
- 2+ years supporting CMC or related manufacturing/analytical projects in a pharmaceutical or biotechnology setting.
- Strong proficiency in R programming for statistical modeling, analysis, and visualization.
- Solid understanding and practical application of linear mixed models.
- Excellent communication and collaborative skills to work effectively across teams.
- Exposure to or hands-on experience with Bayesian statistics and its application in industrial settings.
- Familiarity with a wide variety of statistical transformations and distributions appropriate for CMC data.
- M.S. or higher degree in Biostatistics, Statistics, or a related quantitative discipline.
- In-depth Bayesian analysis experience and exposure to Chemistry, Manufacturing, and Controls (CMC) data analysis.
- Experience with Bayesian methods preferred.
Principal Biostatistician FSP - Chemistry, Manufacturing and Control in Westminster employer: Cytel - EMEA
Contact Detail:
Cytel - EMEA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Biostatistician FSP - Chemistry, Manufacturing and Control in Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the biostatistics field, especially those working in CMC projects. Attend industry events or webinars to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R programming projects and statistical analyses. This will give you an edge during interviews and demonstrate your hands-on experience with relevant methodologies.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of linear mixed models and Bayesian statistics. Be ready to discuss how you've applied these techniques in past projects, as this will highlight your expertise in CMC-related studies.
✨Tip Number 4
Don't forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you a better chance of landing that interview. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Principal Biostatistician FSP - Chemistry, Manufacturing and Control in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in CMC projects and showcases your R programming skills. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about biostatistics and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Statistical Skills: Be specific about your experience with statistical methodologies, especially linear mixed models and Bayesian statistics. We’re looking for someone who can hit the ground running, so highlight any relevant projects or analyses you've done.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Cytel - EMEA
✨Know Your Stats
Brush up on your statistical methodologies, especially linear mixed models and Bayesian statistics. Be ready to discuss how you've applied these in past projects, particularly in CMC settings. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your R Skills
Since R programming is crucial for this role, prepare to demonstrate your proficiency. Bring examples of past work where you've used R for statistical modelling or data visualisation. If possible, have a small project or analysis ready to discuss that highlights your skills.
✨Collaboration is Key
This role involves working with cross-functional teams, so be prepared to talk about your collaborative experiences. Share specific examples of how you've worked with analytical scientists or process engineers to develop statistical strategies. Highlight your communication skills and how they helped in achieving project goals.
✨Understand Regulatory Standards
Familiarise yourself with the regulatory guidelines relevant to CMC, such as those from the FDA and EMA. Be ready to discuss how you've ensured compliance in your previous roles. Showing that you understand the importance of quality and compliance will set you apart from other candidates.