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- Tasks: Lead statistical strategy for innovative oncology studies and influence key development decisions.
- Company: Join a leading pharmaceutical company dedicated to advancing oncology research.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in cancer research using cutting-edge statistical methods.
- Qualifications: PhD or MSc in Statistics with relevant clinical development experience.
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 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
✨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 can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to oncology statistics. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your expertise! Bring along examples of your work, especially those involving innovative statistical methods or real-world data applications. We want to see how you’ve made an impact in your previous roles.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. We love seeing candidates who are proactive and genuinely interested in the role.
We think you need these skills to ace Statistics Leader / Associate Director of Statistics
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Statistics Leader role. Highlight your experience in oncology and any innovative statistical methods you've used. We want to see how your skills align with our needs!
Showcase Your Statistical Expertise: Don’t hold back on showcasing your knowledge of R, Python, and any other relevant tools. We’re looking for someone who can lead with confidence, so let us know about your hands-on experience with statistical modelling and innovative methods.
Communicate Clearly: Remember, you’ll need to explain complex statistical concepts to non-statistical stakeholders. Use clear and concise language in your application to demonstrate your communication skills. We value clarity just as much as technical expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 methods in real-world scenarios. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Communicate Clearly with Non-Statisticians
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 ideas effectively, demonstrating your ability to bridge the gap between statistics and practical application.
✨Showcase Your Leadership Skills
Highlight any experience you have leading teams or projects, especially in a matrix environment. Be prepared to discuss how you've influenced decisions and driven innovation in statistical methodology, as this aligns with the key responsibilities of the role.