At a Glance
- Tasks: Support CMC projects with statistical analysis and collaborate with cross-functional teams.
- Company: Join a leading pharmaceutical client driving innovative patient treatments.
- Benefits: Gain autonomy, ownership, and access to continuous training and development.
- Other info: Exciting opportunity for career growth in a dynamic and supportive environment.
- Why this job: Make a real impact in drug development while working with cutting-edge statistical methodologies.
- Qualifications: M.S. in Biostatistics or related field, with R programming skills and CMC experience.
The predicted salary is between 60000 - 80000 £ per year.
An experienced Biostatistician with in-depth Bayesian analysis experience and exposure to Chemistry, Manufacturing, and Controls (CMC) data analysis. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be.
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician, you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
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.
RESPONSIBILITIESAs a Principal Biostatistician, your responsibilities will include:
- 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.
- Experience with Bayesian methods preferred.
- Ensure quality and compliance with internal standards and regulatory guidelines (e.g., FDA, EMA, ICH).
To be successful in this position you will have:
Required Qualifications:- M.S. or higher degree in Biostatistics, Statistics, or a related quantitative discipline.
- 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.
Senior Biostatistician, Bayesian CMC Analytics (Embedded) employer: Cytel - EMEA
Cytel is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to take ownership of their projects while being fully embedded within a leading global pharmaceutical client. With a strong commitment to employee growth through continuous training and development, Cytel offers a unique opportunity to contribute to cutting-edge drug development initiatives in a supportive environment that values autonomy and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Biostatistician, Bayesian CMC Analytics (Embedded)
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics and pharmaceutical fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Bayesian analysis and CMC data. Use platforms like GitHub to share your R programming projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical methodologies and programming skills. Be ready to discuss how you've applied these in real-world scenarios. Practice common interview questions related to biostatistics and CMC projects to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Tailor your application to highlight your experience in CMC and Bayesian methods, and let us know how you can contribute to our innovative projects.
We think you need these skills to ace Senior Biostatistician, Bayesian CMC Analytics (Embedded)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Bayesian analysis and CMC data in your application. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to the responsibilities listed in the job description. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details 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 Bayesian Stuff
Make sure you brush up on your Bayesian analysis skills before the interview. Be ready to discuss how you've applied these methods in real-world scenarios, especially in CMC data analysis. This will show that you're not just familiar with the theory but can also implement it effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with others in the past. Highlight any experiences where you motivated your team or contributed to a project’s success through effective communication and teamwork.
✨Demonstrate Your Statistical Expertise
Be prepared to dive deep into statistical methodologies, particularly linear mixed models. You might be asked to explain your approach to designing experiments or analysing complex data sets, so having specific examples ready will help you stand out.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current CMC projects or how they integrate Bayesian methods into their processes. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
