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- Tasks: Lead statistical strategy for innovative oncology studies and communicate complex results clearly.
- Company: Join a leading pharmaceutical company dedicated to advancing oncology research.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in cancer research using cutting-edge statistical methods.
- Qualifications: PhD or MSc in Statistics with relevant experience in clinical development.
The predicted salary is between 70000 - 90000 ÂŁ per year.
The Oncology Clinical Development Statistics group is seeking exceptionally talented Statisticians to provide end-to-end statistical leadership across oncology evidence generation—from early development through registration and lifecycle support—using innovative trial designs and modern statistical methods (including simulation, interim strategies, Bayesian approaches, and external/real-world data) to inform key development decisions.
Key Responsibilities
- Provide statistical leadership for oncology studies/indications, partnering with project and study teams to align strategy and execution.
- Lead statistical strategy for study design, analysis, reporting, and interpretation, applying fit-for-purpose methods (e.g., simulation, interim strategies, Bayesian) to quantify uncertainty and inform decisions.
- Author/review statistical sections of protocols, SAPs, clinical/regulatory documents, and presentations; communicate complex results clearly to non-statistical stakeholders.
- Ensure high-quality, on-time deliverables and effective stakeholder management in a matrix environment.
- Drive innovation in statistical methodology and data strategy, including appropriate use of external/real-world data to strengthen oncology evidence generation.
- Build deep indication knowledge (e.g., regulatory expectations, competitor landscape) and influence asset strategy and regulatory submissions with rigorous statistical insight.
- Represent Oncology Biostatistics externally as appropriate and may serve as project statistician for an oncology asset.
Basic Qualifications
- PhD in Statistics or a related quantitative field with at least 5 years post‑degree experience or MS/MSc in Statistics (or related quantitative field) with 8+ years of clinical development experience.
- Experience supporting clinical development in pharmaceutical, biotech, or CRO settings.
- Experience delivering fit-for-purpose statistical solutions and supporting study design and readouts.
- Experience with R and/or Python.
Preferred Qualifications
- PhD.
- Experience supporting Oncology Clinical development in pharmaceutical, biotech, or CRO settings.
- Working knowledge of SAS.
- Hands‑on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches).
- Thorough knowledge of the drug development process including late‑phase development, registration activities, and oncology regulatory expectations.
- Familiarity with causal inference and/or AI/ML methods, and interest in applying these approaches (when appropriate) to clinical and/or real‑world data.
- Demonstrated ability to lead or make major contributions to department, organizational and/or industry‑wide initiatives, through effective communication and influence.
- Strong communication and stakeholder‑management skills, with demonstrated ability to influence across functions in a matrix environment.
- Highly organized, self‑directed, and able to manage multiple priorities across projects.
Statistics Leader / Associate Director of Statistics in London employer: WISE Campaign
Contact Detail:
WISE Campaign Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistics Leader / Associate Director of Statistics in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to oncology and statistics. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with innovative statistical methods like Bayesian approaches and simulation. Share specific examples of how you've applied these skills in past projects to demonstrate your expertise.
✨Tailor Your Approach
Before any interview, research the company and its recent projects in oncology. Tailor your responses to show how your background aligns with their needs, especially in terms of statistical leadership and evidence generation. This will help you stand out as a candidate who truly understands their mission.
✨Apply Through Our Website
Don’t forget to check out our website for job openings! Applying directly through our platform not only shows your interest but also gives you a better chance of being noticed by our hiring team. Plus, it’s super easy to navigate!
We think you need these skills to ace Statistics Leader / Associate Director of Statistics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that match the job description. Highlight your statistical leadership in oncology studies and any innovative methods you've used. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about oncology statistics and how your background aligns with our needs. Don’t forget to mention your experience with R, Python, or any other relevant tools—we love seeing that!
Showcase Your Communication Skills: Since you'll be communicating complex results to non-statistical stakeholders, it's crucial to demonstrate your ability to simplify complex concepts. Use clear language in your application materials to show us you can bridge the gap between stats and strategy.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at WISE Campaign
✨Know Your Stats Inside Out
Make sure you brush up on your statistical methods, especially those mentioned in the job description like Bayesian approaches and simulation techniques. Be ready to discuss how you've applied these methods in past projects, as this will show your expertise and relevance to the role.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or design a study. Think about how you would apply fit-for-purpose statistical solutions in real-world scenarios. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Communicate Complex Ideas Simply
Since you'll need to explain complex statistical concepts to non-statistical stakeholders, practice simplifying your explanations. Use analogies or straightforward language to convey your points effectively. This skill is crucial for ensuring everyone understands your insights.
✨Showcase Your Leadership Skills
Be prepared to discuss your experience leading teams or projects, particularly in a matrix environment. Highlight specific examples where you influenced decisions or drove innovation in statistical methodology. This will demonstrate your capability to take charge and make an impact in the role.