At a Glance
- Tasks: Support innovative healthcare studies and deliver insights that shape new therapies.
- Company: Dynamic healthcare company focused on patient-centric solutions.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team committed to innovation and patient-focused solutions.
- Why this job: Make a real impact in healthcare while collaborating with diverse teams.
- Qualifications: PhD or Master's in Biostatistics, strong R programming skills, and clinical trial experience.
The predicted salary is between 43200 - 72000 £ per year.
A unique opportunity to contribute to innovative healthcare solutions as a Statistical Scientist. This role supports the design, analysis, and reporting of clinical and observational studies, with a focus on patient-centric outcomes, often in rare or underserved disease areas.
You’ll collaborate across multidisciplinary teams and be involved in developing statistical methodologies, ensuring high-quality data interpretation, and delivering insights that guide critical decision-making in the development of new therapies.
What You’ll Do:
- Support planning and execution of clinical/observational studies, HTA, PK-PD, biomarker, or post hoc analyses
- Author and review protocols, SAPs, CRFs, TLF specs, and other key documentation
- Conduct statistical analyses in line with regulatory guidelines and best practices
- Collaborate with study team members across functions
- Develop expertise in therapeutic areas (particularly Oncology) and stay current with scientific and industry developments
- Contribute to clinical study reports and publications with clear statistical interpretation
What We’re Looking For:
- PhD with some experience, or a Master’s with significant experience in Biostatistics or a related field
- Strong R programming skills required; SAS knowledge a plus
- Experience in clinical trials, ideally in Oncology
- A collaborative mindset with a passion for applying statistical science in a real-world healthcare context
Working Environment:
This is a permanent hybrid role based in the UK, offering flexibility to work from home while maintaining meaningful in-person collaboration with colleagues.
We are committed to building a diverse and inclusive team. Ready to make an impact in healthcare through innovative science and patient-focused solutions? Please get in touch with me at aimee@warmanobrien.com.
Principal Statistician in England employer: Warman O'Brien
Join a leading global biotech organisation that is at the forefront of Oncology innovation, where your expertise as a Senior Medical Science Liaison will be valued and impactful. With a hybrid work model, you will enjoy a flexible work-life balance while being part of a collaborative culture that prioritises employee growth and development through continuous learning opportunities. This role not only offers competitive benefits but also the chance to contribute to groundbreaking advancements in healthcare, making it a truly rewarding career choice.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Statistician in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of biostatistics and oncology on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your R programming skills and understanding the latest trends in clinical trials. We recommend practising common statistical questions and scenarios that might come up during your interview.
✨Tip Number 3
Showcase your collaborative mindset! During interviews, share examples of how you've worked with multidisciplinary teams in the past. Highlight your ability to communicate complex statistical concepts clearly to non-statisticians.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Statistician in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Statistician role. Highlight your R programming skills and any relevant experience in clinical trials, especially in Oncology.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about applying statistical science in healthcare. Share specific examples of how you've contributed to patient-centric outcomes in your previous roles.
Showcase Collaboration Skills:Since this role involves working with multidisciplinary teams, emphasise your collaborative mindset. Mention any past experiences where you successfully worked with diverse teams to achieve common goals.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Warman O'Brien
✨Know Your Stats
Brush up on your statistical methodologies and be ready to discuss how you've applied them in previous roles. Be prepared to explain complex concepts in a simple way, especially if they relate to patient-centric outcomes or rare diseases.
✨Show Your Collaborative Spirit
This role involves working with multidisciplinary teams, so highlight your teamwork experiences. Share specific examples of how you’ve collaborated with others to achieve a common goal, particularly in clinical trials or research settings.
✨Demonstrate Your R Skills
Since strong R programming skills are a must, be ready to discuss your experience with R in detail. Consider preparing a few examples of projects where you used R for statistical analysis, and be ready to talk about any challenges you faced and how you overcame them.
✨Stay Current in Oncology
Given the focus on Oncology, make sure you’re up-to-date with the latest developments in this field. Mention any recent studies or breakthroughs that excite you, and be prepared to discuss how they might influence your work as a Principal Statistician.
