Executive Director, Biometrics – CVRM
The Opportunity
Are you an accomplished biometrics leader with a passion for applying quantitative science to the development of transformative medicines? Would you like to shape the strategy and execution of clinical development programs across one of AstraZeneca’s most important and fastest-growing Therapy Areas?
As Executive Director, Biometrics – CVRM, you will be a senior leader within the CVRM Development organization and a core member of the relevant CVRM leadership team. You will lead the biometrics strategy across a disease area franchise, providing scientific and strategic direction for Biometrics. You will be accountable for ensuring that robust, innovative and decision-relevant evidence is generated throughout the development lifecycle. Working across a global matrix, you will influence portfolio decisions, strengthen regulatory strategies, enable efficient delivery and build a high-performing biometrics organization equipped for the future.
Key Accountabilities
Lead and develop a global statistics organization comprising individual contributors and people leaders within a matrix environment. Establish a clear vision, priorities and operating model aligned with the CVRM development strategy.
Ensure that clinical development programs use appropriate statistical designs, data sources, analytical methods, tools and processes to address their objectives clearly and robustly.
You will provide oversight for the quality and timeliness of Biometrics contributions to clinical development planning, study design, protocols, statistical analysis plans, clinical study reports, regulatory submissions and responses to health authorities.
A key part of the role will be ensuring that decision-makers understand both the expected value and the uncertainty associated with development and investment choices.
Work with CVRM and enterprise partners to identify and deliver measurable improvements in productivity, quality and speed. This will include supporting the responsible adoption of AI-enabled and generative AI tools for activities such as data analysis, statistical programming, document creation, submission preparation and knowledge retrieval.
Essential Qualifications and Experience
- MSc in Biostatistics, Statistics, Applied Mathematics or another relevant quantitative discipline.
- Extensive experience in the pharmaceutical, biotechnology or life sciences industry, with a strong understanding of the end-to-end drug development lifecycle in cardiovascular, renal, metabolic or related disease areas.
- Demonstrated expertise across multiple clinical development phases, ideally including large, complex and pivotal Phase III programs.
- Significant experience leading statistical and programming contribution across multiple clinical development programs in a global, matrixed organization.
- Strong understanding of statistical principles and regulatory expectations relevant to clinical trials, including estimates, multiplicity, missing data, interim analyses and adaptive designs.
- Experience leading organizational change, capability building, productivity initiatives or digital transformation.
- A strong external scientific network and evidence of contribution to professional, academic or cross-industry groups.
- Excellent written, verbal and presentation skills, with the confidence to engage senior leaders, governance bodies, regulators and external experts.
Desirable Experience
- Experience leading enterprise-wide or cross-Therapy Area initiatives involving AI, automation, operating-model transformation or productivity --improvement.
- PhD in Biostatistics, Statistics, Applied Mathematics or another relevant quantitative discipline.
- Experience applying or evaluating AI-enabled, machine-learning or generative AI approaches in clinical development, data analysis or scientific operations.
- Understanding of data integrity, clinical data standards and regulatory expectations, including CDISC standards.
- Experience with real-world evidence, digital health technologies, patient-generated data or novel clinical outcome assessments.
- Experience with portfolio strategy, business development, due diligence or in-licensing activities.
- Experience developing externalization models and managing strategic outsourcing collaborations.
Date Posted
31-Aug-2026Closing Date
15-Sep-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Skills Required
- MSc in Biostatistics, Statistics, Applied Mathematics, or another relevant quantitative discipline
- Extensive pharmaceutical, biotechnology, or life sciences industry experience
- Strong understanding of the end-to-end drug development lifecycle in cardiovascular, renal, metabolic, or related disease areas
- Expertise across multiple clinical development phases, ideally including large, complex, pivotal Phase III programs
- Significant experience leading statistical and programming contributions across multiple global clinical development programs
- Strong understanding of statistical principles and regulatory expectations for clinical trials, including estimates, multiplicity, missing data, interim analyses, and adaptive designs
- Experience leading organizational change, capability building, productivity initiatives, or digital transformation
- Strong external scientific network and contributions to professional, academic, or cross-industry groups
- Excellent written, verbal, and presentation skills, including engagement with senior leaders, governance bodies, regulators, and external experts
- Experience leading enterprise-wide or cross-Therapy Area initiatives involving AI, automation, operating-model transformation, or productivity improvement
- PhD in Biostatistics, Statistics, Applied Mathematics, or another relevant quantitative discipline
- Experience applying or evaluating AI-enabled, machine-learning, or generative AI approaches in clinical development, data analysis, or scientific operations
- Understanding of data integrity, clinical data standards, and regulatory expectations, including CDISC standards
- Experience with real-world evidence, digital health technologies, patient-generated data, or novel clinical outcome assessments
- Experience with portfolio strategy, business development, due diligence, or in-licensing activities
- Experience developing externalization models and managing strategic outsourcing collaborations
AstraZeneca Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.
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Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
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Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
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Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.
AstraZeneca Insights
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