At a Glance
- Tasks: Support CMC projects with statistical analysis and collaborate with cross-functional teams.
- Company: Join Cytel, a leader in pharmaceutical innovation and data analysis.
- Benefits: Remote work, competitive salary, and continuous training opportunities.
- Other info: Dynamic role with opportunities for growth in a supportive environment.
- Why this job: Make a real impact on drug development and patient treatment.
- Qualifications: M.S. in Biostatistics or related field, with R programming skills.
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.
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.
Position Overview: 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: As 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).
Qualifications: 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.
- Preferred Qualifications:
- Familiarity with a wide variety of statistical transformations and distributions, appropriate for CMC data.
Principal Biostatistician FSP - Chemistry, Manufacturing and Control employer: Cytel Inc
Cytel is an exceptional employer that prioritises employee growth and development, offering robust training and support to ensure your success as a Principal Biostatistician. With a collaborative work culture embedded within a leading pharmaceutical client in London, you will have the opportunity to drive innovation in patient treatment while enjoying the autonomy and ownership of your projects. Join us to be part of a dynamic team where your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Biostatistician FSP - Chemistry, Manufacturing and Control
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to biostatistics and CMC projects. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any projects involving Bayesian analysis or R programming. This will give potential employers a tangible sense of your capabilities and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Biostatistician FSP - Chemistry, Manufacturing and Control
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 the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific position. Mention how your background in biostatistics and programming with R makes you a perfect fit for our team at Cytel.
Be Yourself:We love seeing personality in applications! Don’t be afraid to let your enthusiasm for biostatistics and collaboration shine through. It helps us get a sense of who you are beyond just your qualifications.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Cytel Inc
✨Know Your Stats
Brush up on your statistical methodologies, especially Bayesian analysis. Be ready to discuss how you've applied these techniques in past projects, particularly in CMC settings. This will show your depth of knowledge and practical experience.
✨Collaborate Like a Pro
Prepare examples of how you've worked with cross-functional teams. Highlight your communication skills and how you’ve motivated others to achieve project goals. This is key for a role that requires collaboration with analytical scientists and process engineers.
✨Showcase Your R Skills
Since strong proficiency in R programming is a must, be prepared to discuss specific projects where you've used R for statistical modelling and data visualisation. If possible, bring along examples or even a portfolio of your work to demonstrate your capabilities.
✨Understand the Regulatory Landscape
Familiarise yourself with FDA, EMA, and ICH guidelines relevant to CMC. Be ready to discuss how you ensure compliance in your statistical analyses. This shows that you not only understand the technical side but also the regulatory implications of your work.
