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AstraZeneca

Global pharmaceutical company developing prescription medicines

Head of Biometrics

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeChinaNo salary listedIn-person

About the Job

Requirements

  • A master's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline is required; a PhD is preferred.
  • At least 8 years of relevant experience in biostatistics and/or statistical programming within pharmaceutical, biotechnology, CRO, academic, or healthcare research settings.
  • Demonstrated experience leading complex clinical-development or real-world evidence programmes and providing strategic statistical input across multiple stakeholders.
  • Ability to develop and review statistical strategies, study designs, statistical analysis plans, programming deliverables, analysis methods, and statistical reports for large, high-priority Phase II–IV clinical or external-sponsored research programmes, including programmes with investments exceeding RMB 10 million.
  • Strong command of clinical-trial and observational-study methodologies, including approaches to bias, confounding, missing data, multiplicity, sensitivity analyses, and causal interpretation.
  • Working knowledge of relevant regulatory expectations, data standards, quality requirements, and good clinical and pharmacoepidemiology practices.
  • Ability to communicate independently with senior CDE reviewers on study-design and statistical issues and provide strategic consultation and coaching to team members and cross-functional colleagues.
  • Ability to communicate in writing and verbally with senior stakeholders, influence them, and build trusted internal and external relationships.
  • Demonstrated collaboration across global, regional, and local teams and functional boundaries.
  • Strong problem-solving, judgement, quality focus, and accountability for statistical and programming deliverables.
  • Ability to direct multiple workstreams, manage priorities, and deliver through others.

Responsibilities

  • Serve as the senior technical authority for biostatistics and statistical programming, applying and advancing fit-for-purpose methodologies across Phase II–IV clinical studies, including oncology, and real-world evidence studies.
  • Provide strategic input into evidence-generation plans, study concepts, protocols, estimands, statistical analysis plans, data standards, programming specifications, and interpretation of results.
  • Anticipate methodological, operational, and data-quality risks; propose pragmatic solutions; and lead project teams through implementation.
  • Ensure analyses are scientifically rigorous, reproducible, compliant, and aligned with study objectives and internal quality standards.
  • Translate complex statistical concepts, study designs, and findings into clear, decision-relevant insights for project teams, governance bodies, research institutions, and external stakeholders.
  • Engage independently with senior and chief reviewers at China’s Center for Drug Evaluation on study-design and statistical topics, building credible and constructive working relationships.
  • Provide advanced statistical training, consultation, and interpretation to strengthen data literacy and evidence-based decision-making across functions.
  • Represent the function in relevant internal and external scientific forums and contribute to methodological standards and best practices.
  • Set a team vision aligned with company and China RWE & Data Science Centre priorities, and build an innovative, collaborative, academically strong, and delivery-focused organization.
  • Establish and continuously improve governance, processes, templates, quality controls, resource planning, and vendor oversight for biostatistics and statistical programming deliverables.
  • Prioritize the portfolio and allocate resources to deliver high-impact evidence-generation programmes on time and to quality.
  • Partner across therapeutic areas and with Clinical Operations, Epidemiology, RWE, Data Science, Medical Affairs, Regulatory, Market Access, and global evidence teams.
  • Attract, develop, engage, and retain statisticians and statistical programmers.
  • Identify capability gaps and provide differentiated coaching, development plans, stretch assignments, and succession planning.
  • Set clear objectives, hold team members accountable for outcomes and quality, and foster inclusion, continuous learning, and constructive challenge.
  • Review and approve key team deliverables to ensure scientific quality, compliance, and consistency with internal standards and processes.

Desired Qualifications

  • Formal people-management experience, including talent development and performance management.
  • Experience with both clinical trials and real-world evidence, including work across more than one therapeutic area; oncology experience is an advantage.
  • Experience managing statistical programming capabilities, external vendors, or service providers.
  • Broad understanding of Medical Affairs, evidence generation, regulatory, access, and publication activities.

About the Company

AstraZeneca

Global pharmaceutical company developing prescription medicines

AstraZeneca develops and markets prescription medicines and vaccines worldwide, with a focus on oncology, cardiovascular/metabolic, respiratory, and infectious diseases. Its products work by targeting specific biological pathways or cells, using small-molecule therapies, biologics, and vaccines to treat diseases or prevent infections. It differentiates itself through its dual heritage from Sweden and the UK, a broad pipeline, and strong R&D and collaborations that move from discovery to patient access. Its goal is to improve people’s health by discovering, developing, and delivering medicines and vaccines to patients worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
Cambridge, United Kingdom
Founded
1913

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