At a Glance
- Tasks: Design and analyse exploratory clinical studies using statistical expertise.
- Company: Join Roche, a leader in healthcare innovation and diversity.
- Benefits: Competitive salary, flexible working, and opportunities for personal growth.
- Why this job: Make a real impact on healthcare while thriving in a supportive environment.
- Qualifications: MSc or PhD in Statistics or Biostatistics with clinical trial experience.
- Other info: Collaborative culture that values every voice and encourages personal expression.
The predicted salary is between 40000 - 50000 £ per year.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.
This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across early clinical development at Roche. We partner across Biostatistics, Analytical Data Science, and Data Management to enable data-driven decision-making from first-in-human through proof-of-concept studies.
As trusted partners in early development, we design efficient and innovative clinical trials, apply rigorous statistical methods, and implement high-quality programming and analytical solutions to accelerate timelines, de-risk development, and increase the probability of technical success. Our integrated teams operate with agility and scientific depth, supporting exploratory analyses, early regulatory engagements, and complex data-generation needs across therapeutic areas.
The Early Development Statistician is a critical partner in the design and analysis of exploratory clinical studies, applying statistical expertise to guide early-phase trial strategy, design, and interpretation. This role ensures scientific rigor while maintaining the flexibility needed for hypothesis generation and signal detection.
- Responsibilities include contributing to protocol design, developing statistical analysis plans, and analyzing complex, often high-dimensional data to inform early go/no-go decisions and regulatory interactions.
- You contribute to early phase trial design under guidance, leveraging standard and adaptive methods for small samples and exploratory objectives, for example dose escalation models and Bayesian approaches.
- You draft and review protocols, SAPs, and CRFs using established templates and examples, ensuring alignment with early development goals such as pharmacokinetics, pharmacodynamics, and early efficacy signals.
- You perform or support statistical analyses per SAPs, often with non-traditional endpoints or biomarkers, and proactively flag data anomalies or design-related challenges given smaller datasets and less mature endpoints.
- You collaborate with study teams to meet deliverables on accelerated timelines, adhering to evolving processes common in early phase trials.
- You summarize findings clearly with support, translating complex outputs into concise insights that inform early go/no-go decisions or subsequent phase designs.
- You contribute to clinical study reports and regulatory submissions, supporting documentation for INDs, EMA scientific advice, and FDA pre-IND meetings, using appropriate templates.
- You apply judgment to solve moderately complex statistical or data issues, balancing rigor with the flexibility needed in early phase development, and seek guidance when facing novel or ambiguous situations.
- You adhere to functional standards and participate in peer review and mentoring to uphold quality while building expertise in early phase methodology and regulatory expectations.
- You work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding.
Who You Are:
- You hold an MSc or PhD in Statistics, Biostatistics, or a closely related quantitative field.
- You bring relevant experience in clinical trial statistics in pharmaceutical, biotech, or CRO settings.
- You are familiar with ICH guidelines, GCP, and regulatory requirements such as FDA and EMA.
- You have a strong understanding of statistical principles and methodologies relevant to clinical trial design and analysis.
- You are proficient in SAS and/or R and familiar with CDISC standards.
- You demonstrate independent thinking and make decisions based on sound principles.
- You demonstrate excellent strategic agility including problem solving and critical thinking, with agility that extends beyond the technical domain.
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.
- You have excellent verbal and written communication skills in presentation and writing, with the ability to explain complex technical concepts in clear language.
Preferred:
- Experience working in cross-functional global study teams, including Clinical Pharmacology, Translational Medicine, and Early Clinical Development.
- Effective communication skills with the ability to translate complex, often exploratory or model-based statistical concepts for non-statistical audiences, including clinicians and early decision-makers.
- Basic understanding of the multiple phases of drug development, with a strong emphasis on early-phase (Phase I/II) design and analysis, including first-in-human, SAD/MAD, and proof-of-concept studies.
- Experience within a matrixed early development environment, including providing statistical guidance in fast-paced, high-uncertainty settings.
- Familiarity with innovative design methods (e.g., Bayesian designs, model-informed drug development) and regulatory expectations for exploratory endpoints.
- Agility and comfort working with incomplete or evolving data and pivoting approaches based on emerging results in early clinical trials.
This position is based in Welwyn. Relocation Assistance is not available.
At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
Statistician in Welwyn Garden City employer: Roche
Contact Detail:
Roche Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to current or former Roche employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in Early Development Biometrics. Personal connections can make all the difference!
✨Tip Number 2
Prepare for your interview by brushing up on your statistical knowledge and methodologies relevant to clinical trials. Be ready to discuss how you would apply these in real-world scenarios. Show us your problem-solving skills and strategic thinking!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to communicate complex concepts clearly. Practice explaining statistical ideas in simple terms, as this will be crucial when collaborating with cross-functional teams at Roche.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining Roche and being part of our mission to innovate healthcare.
We think you need these skills to ace Statistician in Welwyn Garden City
Some tips for your application 🫡
Be Yourself: At StudySmarter, we believe in the power of authenticity. When writing your application, let your unique qualities shine through. Don’t be afraid to express who you are and what drives you!
Tailor Your Application: Make sure to customise your application for the Statistician role. Highlight your relevant experience in clinical trial statistics and how it aligns with Roche's mission. This shows us that you’re genuinely interested in the position.
Showcase Your Skills: Don’t just list your qualifications; demonstrate how your skills in statistical analysis and programming (like SAS or R) can contribute to early-phase trial design. We want to see how you can add value to our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates about the process. Let’s get started on this journey together!
How to prepare for a job interview at Roche
✨Know Your Stats
Brush up on your statistical principles and methodologies relevant to clinical trial design. Be ready to discuss how you would apply these in real-world scenarios, especially in early-phase trials. This shows you’re not just familiar with the theory but can also think critically about its application.
✨Showcase Your Communication Skills
Prepare to explain complex statistical concepts in simple terms. Roche values effective communication, so practice translating your technical knowledge into insights that non-statistical audiences can understand. This will demonstrate your ability to collaborate across teams.
✨Familiarise Yourself with Regulatory Guidelines
Make sure you know the ICH guidelines, GCP, and regulatory requirements like those from the FDA and EMA. Being able to discuss these in your interview will show that you understand the landscape of clinical trials and can navigate it effectively.
✨Be Ready for Problem-Solving
Expect questions that assess your problem-solving skills, especially in high-uncertainty settings. Think of examples from your past experiences where you had to adapt your approach based on evolving data or unexpected challenges. This will highlight your agility and independent thinking.