Executive Director, Centre for Oncology Data Excellence

Executive Director Of The Centre For Oncology Data ExcellenceAre you ready to lead the charge in transforming oncology data excellence? AstraZeneca is on the lookout for a visionary leader to take the helm as Executive Director of the Centre For Oncology Data Excellence (CODE). Reporting to the Vice President of EvGen2Pubs, this role is pivotal in driving cross-brand, cross-tumor data strategy and advanced analytics within Global Medical Affairs Oncology. With a focus on embedding GenAI methodologies, you'll ensure our research is trusted, reproducible, and globally scaled, delivering best-in-class evidence for patients and the business.What You'll Do:Lead CODE Strategy: Define and implement a unified approach across Data Analytics, Global Data Strategy, Biostatistics, and Scientific Medical Writing.Work closely with other stakeholders in EG2P and GMA to ensure highest research conducted is timely and scientific rigorousData Innovation: Oversee the conduct of in-house RWE studies and other analyses with the highest scientific standards.Scale Analytics Globally: Deliver coordinated capabilities that reduce cycle times and improve reproducibility across brands and regions therapeutic areas.Data Strategy: Oversee global data strategy, review and purchase decisions for multiple data assets in close partnership with stakeholders across EG2P and AZ.Delivery Excellence: Ensure robust design, analysis, and interpretation for GMA-led trials, externally sponsored research (ESRs), and RWE/RWD studies including governanceScientific Medical Writing: Lead the development and QC of SDCs, protocols, study reports, abstracts and presentations leveraging GenAI tools when appropriate.Accelerate GenAI Adoption: Champion responsible GenAI deployment with clear guardrails, performance metrics, and human-in-the-loop validation. Improve analytics and scientific writing with embedded GenAI capabilities.Scale Analytics Globally: Deliver coordinated capabilities that reduce cycle times and improve reproducibility across brands and regions.Drive End-to-End Integration: Align cross-functional teams from study build to evidence dissemination.Methods and Tooling: Advance modern analytics (e.g., causal inference, target trial emulation, synthetic controls, timetoevent modeling), statistical computing best practices (R/Python, package governance), and GenAI copilots to improve reproducibility and throughput.Standardise Excellence: Develop shared playbooks and reusable assets to accelerate delivery and ensure consistency.Governance & Compliance: Co-lead data and AI governance forums to meet regulatory expectations and inspection readiness.Infrastructure Leadership: Oversee development of scalable data environments and pipelines.Capability Building: Champion continuous learning in GenAI, advanced statistics, and data engineering.Programme Delivery: Own CODE milestones, delivery plans, and risk management across global programmes.Impact Measurement: Quantify business and patient impact through insights delivered and publications enabled.Impact ExpectationsElevate CODE as the enterprise center of excellence for oncology analytics, biostatistics, data strategy, and scientific medical writing.Deliver an integrated data and analytics strategy across brands and regions that reduces cycle times, improves reproducibility, and increases the yield of actionable insights.Operationalize GenAI across CODE with measurable productivity and quality gains, robust governance, and human-in-the-loop validation.Enable faster, higher quality evidence to inform publications and global medical strategies.Required QualificationsPhD, MD, PharmD, or MS in outcomes researchepidemiology, biostatistics, epidemiology outcomes research, statistics, data science, or related field.10+ years in pharma/biotech or health data, leading sophisticated analytics and evidence programmes; recognized authority in oncology and real-world research.Leadership: Advanced skills in team leadership, matrix management, stakeholder influence, and crossfunctional program delivery; excellence in vendor oversight and multisector collaboration.Communication: Outstanding written and verbal communication; ability to translate complex methods and trends into actionable strategies and compelling scientific outputs.Strong in RWE/RWD methods, study design, biostatistics, and R/Python; familiar with modern analytics engineering.Deep understanding of data integration, privacy standards (HIPAA, GDPR), and operationalizing compliant AI/ML/GenAI.Validated use of GenAI to improve analytics and scientific writing with measurable impact.When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.AstraZeneca is at the forefront of oncology innovation. With a fast-growing team dedicated to transforming cancer treatment through our game-changing pipeline, we are committed to making a meaningful impact on patients' lives. Our entrepreneurial spirit drives us to take initiatives that redefine cancer care. By leveraging our commercialized portfolio, we aim to change the practice of medicine. Join us as we build the future of oncology with cutting-edge science that shapes the pipeline of tomorrow.Ready to make a difference? Apply now to join AstraZeneca's journey in transforming oncology care