Senior Statistician II, Late Oncology

Senior Statistician II, Late Oncology

Introduction to role

Are you ready to turn complex data into decisions that shape late-stage oncology development? Do you want your statistical judgment to be visible at the moments that matter for patients and the business?

In this high-exposure role, you will guide the building, analysis and understanding of studies that inform pivotal decisions across our late oncology portfolio. You will partner with clinicians, clinical operations, regulatory and medical teams to bring statistical rigor to every stage of development, translating evidence into clear recommendations that accelerate delivery of life-changing medicines.

You will operate at the intersection of science and decision-making: applying robust methods, stress-testing strategies through modelling and simulation, and communicating insights with clarity. You will be supported by experienced peers, yet trusted to own your work, improve how we operate, and help set the bar for quality across programs.

Accountabilities:

Offer statistical support for planning experimental work and clinical studies. Build clear decision criteria and power plans to address the right questions with relevant evidence.

With mentorship from experienced statisticians, lead the development and analysis of complex studies. Support broader programs including preclinical investigations, regulatory submissions, commercialization activities, and interactions with senior governance bodies.

Simulation and modelling: Apply simulation and modelling to inform study build decisions, assess robustness and operating characteristics, and examine scenarios under pressure to minimize risks in development plans.

Analysis Planning and Execution: Develop Statistical Analysis Plans; produce analyses, graphics and tables for standard studies and reports across clinical, preclinical, medical affairs and publication needs with accuracy and timeliness.

Insightful Interpretation and Communication: Interpret, summarize and communicate findings from standard studies in a way that influences decisions and next steps, translating statistics into clear, actionable mentorship.

Methodology and Process Improvement: contribute to improving methods and practical solutions that increase quality, efficiency, and effectiveness. Embed guidelines in planning, conducting, and reporting studies.

Manage your work to meet deadlines and standards. Be accountable for your statistical deliverables' integrity. Provide discipline-specific insight and constructive challenge. Recognize your own development needs.

Essential Skills/Experience:

MS required; PhD preferred in statistics or related field

Provides statistical expertise for study design, analysis, and interpretation in both research projects and clinical trials

Independently leads statistical elements of project work, develops Statistical Analysis Plans, and generates analyses, graphics, and tables for preclinical and clinical studies

Applies modelling, simulation, and a range of advanced statistical methods to inform and improve study design and the robustness of results

Collaborates with senior statisticians and contributes to broader programs including preclinical research, regulatory submissions, commercialization efforts, and internal governance

Offers practical solutions and improvements to statistical methodologies, processes, and project guidelines

Clearly interprets, summarizes, and communicates study results to multidisciplinary teams and collaborators

Maintains high standards of quality and accountability in statistical work, provides thoughtful critique, and is proactive about personal development

Effectively solves complex problems within own area and works collaboratively within multidisciplinary teams

Desirable Skills/Experience:

Experience in late-stage oncology trials along with knowledge of disease endpoints and estimands

Proficiency in SAS and R, with experience in reproducible workflows and version control

Familiarity with regulatory guidelines and submissions, including ICH E9 and related addenda

Experience with Bayesian or simulation-based design approaches and decision frameworks

Strong communication skills to influence non-statistical partners and present at governance forums

Record of contributions to publications or conference presentations

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AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing  [email protected] .

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Annual base salary for this position ranges from 109,148.80 to 143,257.80. AstraZeneca is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The range provided in this posting represents an offer pay range used in a majority of situations. The base pay offered will vary depending on multiple individualized factors, including the candidate's skills and experience, job-related knowledge, and other specific business and organizational needs.  In some cases, offers outside the range may also be considered to address unique circumstances.

In addition, our permanent positions offer an annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in our equity-based long-term incentive program (if applicable to role).  Benefits offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days. Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.

We are using AI as part of the recruitment process.

This advertisement relates to a current vacancy.