Jobs at AstraZeneca

Lead GI cancer brand strategy and execution, collaborate cross-functionally and with global counterparts, plan budgets, deploy customer activities and sales content, monitor sales and market trends, drive KEE relationships and advocacy, complete strategic business plans, and manage an intern.

Partner with senior clinical operations leaders to shape decisions and deliver analytics and AI‑enabled decision support. Lead Power BI semantic modeling, ensure data readiness and governance, drive adoption and enablement, coach teams, and produce executive‑ready recommendations with measurable impact.

Senior leader driving governance, operational performance, workforce strategy, financial stewardship, and change adoption for R&D IT. Partners across Finance, HR, Strategy, Quality and capability leads to establish data-driven operating models, KPIs, executive reporting, workforce planning, budget oversight, and continuous improvement including AI and automation adoption.

Provide SME support for contamination control and environmental monitoring in GMP radioconjugate manufacturing. Design and maintain EM programs, lead EMPQ studies, assess excursions, drive investigations and CAPA, author GMP documentation, advise on bioburden control, support cleanroom qualification, and train cross-functional teams to ensure regulatory compliance and product quality.

Lead site QA/QC and compliance for radiopharmaceutical manufacturing, ensuring cGMP adherence, inspection readiness, product release, CAPA management, quality metrics, continuous improvement, and development of quality staff and processes.

Lead and oversee global haematology clinical studies from protocol development through archiving. Coordinate cross-functional and external partners (CROs, vendors), ensure study materials and IP supply, support budget and project management, maintain inspection-ready documentation and safety reporting, monitor study progress and risks, and assist in meetings and study document preparation to deliver studies on time, budget, and quality.

Design, validate, and deploy publication-grade predictive and causal models for commercial and patient outcomes in rare disease. Build survival and time-series models, Bayesian marketing-mix and next-best-action systems, integrate Snowflake Cortex AI and AI agents, ensure HIPAA-compliant data operations, implement interpretability and bias guardrails, and translate insights to commercial stakeholders.

Lead full Therapeutic Area P&L, partner with commercial and functional leaders to translate strategy into financial decisions, drive budgeting, month-end reporting, commercial analytics, cost optimization, business case development, and stakeholder engagement to deliver revenue, profitability and performance improvements.

Lead Employee Relations for Canada, advising leaders and HR partners on policy, investigations, performance management, terminations, change initiatives, ethics intake, and legal collaboration. Maintain ER frameworks, metrics, severance processes, and trend analysis to ensure consistent, compliant, and fair employee experiences across the business.

Lead regulatory digital product governance by driving annual digital strategy refresh, maturing governance frameworks (RTGC), establishing portfolio oversight and prioritization, and owning product roadmaps. Partner cross-functionally to deliver digital products, define backlogs and KPIs, guide development lifecycles, leverage analytics and user research, and promote continuous improvement and change through innovation.

Designs, conducts, troubleshoots, and analyzes in vitro experiments to validate reagents, probe target biology, and define mechanisms for radioconjugate oncology programs. Supports cross-functional teams, generates preclinical datasets, presents results, and ensures GLP and safety compliance while working with radioisotopes.

Lead statistical design, simulation, analysis, and interpretation for late-stage oncology studies. Develop Statistical Analysis Plans, produce analyses/graphics/tables, apply simulation and advanced methods, and communicate results to multidisciplinary teams and regulators. Contribute to methodology and process improvements, support regulatory submissions and governance, and mentor peers while owning high-quality statistical deliverables and timelines.

Design, deploy, and operate production-grade Generative AI agents and GenAI workflows for clinical trial optimization. Build scalable cloud infrastructure, automate via IaC and CI/CD, integrate LLM routing and monitoring (latency, token usage, hallucination detection), and collaborate with AI engineers and data scientists to move models from research to reliable production services.