Statistician

Statistician

Full-Time 40000 - 50000 £ / year (est.) No home office possible
Roche

At a Glance

  • Tasks: Design and analyse exploratory clinical studies to guide early-phase trial strategy.
  • Company: Join Roche, a leader in healthcare innovation and diversity.
  • Benefits: Flexible working environment, competitive salary, and opportunities for personal growth.
  • Why this job: Make a real impact on healthcare while collaborating with diverse teams.
  • Qualifications: MSc or PhD in Statistics or related field; experience in clinical trial statistics.
  • Other info: Be part of a global team dedicated to advancing science and improving lives.

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. Join Roche, where every voice matters.

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.

Early Development Biometrics is also home to the Statistical Methodology group, which enables the most impactful use of quantitative methodology across PDD through internal consultation, external collaboration, and continuous capability building; and Visual Analytics, which creates and maintains interactive dashboards that drive high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints.

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 analysing complex, often high-dimensional data to inform early go/no-go decisions and regulatory interactions.
  • Drafting and reviewing protocols, SAPs, and CRFs using established templates and examples, ensuring alignment with early development goals such as pharmacokinetics, pharmacodynamics, and early efficacy signals.
  • Performing or supporting statistical analyses per SAPs, often with non-traditional endpoints or biomarkers, and proactively flagging data anomalies or design-related challenges given smaller datasets and less mature endpoints.
  • Collaborating with study teams to meet deliverables on accelerated timelines, adhering to evolving processes common in early phase trials.
  • Summarising findings clearly with support, translating complex outputs into concise insights that inform early go/no-go decisions or subsequent phase designs.
  • Contributing to clinical study reports and regulatory submissions, supporting documentation for INDs, EMA scientific advice, and FDA pre-IND meetings, using appropriate templates.
  • Applying judgment to solve moderately complex statistical or data issues, balancing rigor with the flexibility needed in early phase development, and seeking guidance when facing novel or ambiguous situations.
  • Adhering to functional standards and participating in peer review and mentoring to uphold quality while building expertise in early phase methodology and regulatory expectations.
  • Working under general supervision and applying independent judgment to interpret guidance, prioritise 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 employer: Roche

At Roche, we pride ourselves on fostering a culture of inclusivity and personal expression, where every employee is valued for their unique contributions. Located in Welwyn, our Early Development Biometrics team offers a dynamic work environment that encourages collaboration and innovation, providing ample opportunities for professional growth and development in the field of clinical trial statistics. Join us to be part of a mission-driven organisation dedicated to advancing healthcare solutions that make a meaningful impact on patients' lives.
Roche

Contact Detail:

Roche Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Statistician

✨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 a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your statistical methods and clinical trial knowledge. Be ready to discuss how you would apply these in real-world scenarios, especially in early-phase trials. Show us your passion for data-driven decision-making!

✨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

Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of Roche’s mission to innovate healthcare.

We think you need these skills to ace Statistician

Statistical Expertise
Clinical Trial Design
Statistical Analysis Plans (SAPs)
Data Interpretation
SAS
R
ICH Guidelines
GCP
Regulatory Requirements (FDA, EMA)
Bayesian Approaches
Problem Solving
Communication Skills
Cross-Functional Collaboration
Agility in Data Handling
Understanding of Drug Development Phases

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. We want to see how you can contribute to our innovative culture!

Showcase Your Skills: Don’t just list your qualifications; demonstrate how your skills in statistical analysis and methodologies can impact early-phase trials. Use specific examples to illustrate your expertise and problem-solving abilities.

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’re considered for the role. Plus, it’s super easy to do!

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’ve applied these in past roles, especially in exploratory studies. This will show that you can bring scientific rigor to the table.

✨Understand Roche's Culture

Familiarise yourself with Roche’s commitment to personal expression and collaboration. Think of examples from your experience where you’ve thrived in a team environment or contributed to open dialogue. This will help you connect with the interviewers on a cultural level.

✨Prepare for Technical Questions

Expect questions about specific statistical methods, like Bayesian designs or dose escalation models. Prepare to explain these concepts clearly, as you might need to translate complex ideas for non-statistical audiences. Practice summarising your findings concisely.

✨Show Your Agility

Roche values strategic agility, so be prepared to discuss how you've navigated uncertainty in previous projects. Share examples of how you adapted your approach based on evolving data or feedback, demonstrating your ability to pivot when necessary.

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