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AstraZeneca

Head of Biometrics

AstraZeneca is hiring a Head of Biometrics. Level rates it ; you can apply on AstraZeneca.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include biostatistics, statistical programming and clinical trials.
  • Level classifies it as a lead role.
  • Level lists 1,300+ other open roles at AstraZeneca.

AI in this role

Provide statistical leadership and scientific expertise for clinical studies and real-world evidence programs at a biopharmaceutical company.

biostatisticsstatistical-programmingclinical-trialsoncologyregulatory-compliance

ROLE & RESPONSIBILITIES

Statistical Leadership & Scientific Expertise

  • 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.

Scientific Communication, Consulting & External Engagement

  • Translate complex statistical concepts, study designs, and findings into clear, decision-relevant insights for project teams, governance bodies, research institutions, and external stakeholders.
  • Independently engage with senior and chief reviewers at China’s Center for Drug Evaluation (CDE) 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 the evolution of methodological standards and best practices.

Functional & Operational Leadership

  • Set a compelling 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 effectively across therapeutic areas and with Clinical Operations, Epidemiology, RWE, Data Science, Medical Affairs, Regulatory, Market Access, and global evidence teams.

People Leadership

  • Attract, develop, engage, and retain high-calibre 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 a culture of inclusion, continuous learning, and constructive challenge.
  • Review and approve key team deliverables to ensure scientific quality, compliance, and consistency with internal standards and processes.

REQUIREMENTS

Education & Experience

  • Master’s degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline; PhD preferred.
  • At least 8 years of relevant experience in biostatistics and/or statistical programming within the pharmaceutical, biotechnology, CRO, academic, or healthcare research setting.
  • Demonstrated experience leading complex clinical-development or real-world evidence programmes and providing strategic statistical input across multiple stakeholders.

Technical & Professional Capabilities

  • Proven 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 appropriate 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 independently communicate with senior CDE reviewers on study design and statistical issues and to provide strategic consultation and coaching to team members and cross-functional colleagues.
  • Excellent written and verbal communication skills, with the ability to influence senior stakeholders and build trusted relationships internally and externally.
  • Demonstrated collaboration across global, regional, and local teams and across functional boundaries.
  • Strong problem-solving, judgement, quality focus, and accountability for statistical and programming deliverables.
  • Proven leadership skills, including the ability to direct multiple workstreams, manage priorities, and deliver through others.

Preferred 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.

Date Posted

01-9月-2026

Closing Date

30-12月-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

How we rate this

Head of Biometrics at AstraZeneca rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

BiostatisticsStatistical ProgrammingClinical TrialsOncologyRegulatory Compliance

Questions you could be asked

  1. Tell me about a project where biostatistics was part of your work. What did you do?
  2. Tell me about a project where statistical programming was part of your work. What did you do?
  3. Tell me about a project where clinical trials was part of your work. What did you do?
  4. Tell me about a project where oncology was part of your work. What did you do?
  5. Tell me about a project where regulatory compliance was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Biostatistics, Statistical Programming, Clinical Trials, Oncology, and Regulatory Compliance. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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