Jobs at AstraZeneca PLC

Leads AI commercialization strategy and portfolio ownership for AstraZeneca’s US Oncology Business Unit. Translates business needs into AI use cases, oversees delivery and lifecycle management, drives adoption and value realization, and ensures governance, compliance, data readiness, and measurable outcomes. Serves as the bridge between commercial leaders and enterprise AI, technology, and business services teams while leading change, stakeholder alignment, capability building, and strategic planning.

Design and lead cloud-based data platforms, lakehouses, pipelines, governance frameworks, and operational tooling on AWS. Build streaming and batch data solutions, implement infrastructure as code and CI/CD, establish security and observability practices, and guide data modeling across a multi-tenant SaaS environment. Mentor engineers, provide technical leadership, and collaborate with product and security teams to align the data foundation with business objectives.

Build and automate Evinova’s cloud-based data foundation, including lakehouse architecture, catalogs, batch and streaming pipelines, infrastructure as code, data modeling, governance, security, monitoring, and CI/CD. The role requires hands-on AWS data engineering expertise, mentoring engineers, optimizing reliability and automation, and collaborating with product and security teams to support SaaS data platforms, data science, and AI capabilities.

Partners with senior leaders to execute HR strategy, workforce planning, performance management, employee relations, compensation, engagement, and organizational change. Leads multidisciplinary HR initiatives, advises managers on complex policy and ER matters, ensures legal and policy compliance, analyzes workforce trends, and drives performance and culture transformation through surveys, focus groups, and action plans.

Provides end-to-end quality assurance oversight for AstraZeneca’s new biologics manufacturing campus in Singapore. Responsibilities include cGMP compliance, manufacturing and QC oversight, deviation and CAPA management, validation and change control, batch release, supplier quality, audits, complaints, risk management, quality analytics, and training. The role supports biologics, small-molecule, sterile filling, packaging, warehousing, and digitally enabled manufacturing operations while helping establish the site’s pharmaceutical quality system.

Lead strategy and operations across AstraZeneca’s Enterprise AI organization. Coordinate leadership governance, strategic planning, OKRs, portfolio reporting, FinOps, budgeting, workforce planning, performance management, and executive communications. Establish operating rhythms, improve visibility of risks and dependencies, support AI transformation initiatives, and drive cross-functional execution in a global, regulated environment.

Lead regional cell therapy site strategy, activation, and quality/compliance oversight. Guide clinical workflows (apheresis to infusion), train and mentor site teams, coordinate logistics and supply chain, manage deviations/CAPA, engage cross-functional stakeholders, and report performance across multiple countries. Travel up to 50%.

Provides high-quality administrative and personal assistant support to senior Pharmaceutical Sciences leaders. Responsibilities include complex calendar and meeting coordination, international travel and expenses, purchasing and invoicing through Coupa, interview and onboarding coordination, compliance follow-up, grant and collaboration tracking, project support, and Microsoft Teams file management. The role requires strong organization, discretion, communication, stakeholder management, and bilingual English and Swedish skills.

Designs and executes asymmetric catalytic reactions in a pharmaceutical laboratory using high-throughput experimentation, pressure equipment, gloveboxes, and automation. Interprets experimental data, evaluates literature and reaction mechanisms, selects suitable synthetic methods, and plans follow-up work. Collaborates with catalysis teams, drug project groups, and academic partners to support API process development and medicine manufacture. The role also contributes scientific innovation through publications, patents, or presentations and may coach peers.

Build and improve governed HR data products, pipelines, reports, and dashboards. Analyze workforce data, resolve quality issues, maintain metadata and lineage, support access governance, and ensure secure handling of sensitive employee information. Gather requirements, perform data cleansing and validation, support HR data migrations and M&A activities, and contribute to AI governance. The role partners across HR, IT, analytics teams, vendors, and business stakeholders using Agile delivery methods.

Provides advanced statistical programming support and leadership for oncology clinical studies, including analysis, reporting, clinical study reports, regulatory submissions, commercialization, and scientific data use. Works with global teams on concurrent studies, ensures technical and regulatory compliance, applies CDISC standards, manages stakeholders, and independently delivers programming activities using extensive SAS expertise.

Provides statistical expertise for clinical trial protocols, study design, analyses, method validation, documentation, and regulatory compliance. Conducts complex statistical analyses using SAS and R, applies survival analysis, translates scientific questions into appropriate methodologies, and supports clinical development projects for cancer medicines.

Owns the end-to-end design, development, deployment, and support of enterprise Power BI solutions. Builds optimized semantic models, DAX calculations, data integrations, governance controls, refresh strategies, and secure reporting workflows. Partners with stakeholders to translate business needs into technical designs, troubleshoots reporting issues, leads reviews, mentors developers, and delivers multiple Agile initiatives. Uses commercial and omnichannel data to generate actionable insights across global markets.

Own the strategy, roadmap, governance, and value realization for AstraZeneca’s clinical AI portfolio. Prioritize initiatives across Phases I–III and clinical operations, build business cases, assess build-buy-partner options, and translate emerging AI capabilities into actionable plans. Partner with clinical, research, technical, regulatory, and executive stakeholders to turn clinical questions into funded AI programs, establish operating models, and drive adoption and measurable impact across the enterprise.

Develop, benchmark, and deploy AI capabilities for translational science and medicine. Partner with scientists, bioinformaticians, and engineers to identify high-impact problems, integrate scientific data, evaluate modern AI methods, and transition prototypes into robust, governed products. The role focuses on mechanistic reasoning, multi-omics, multimodal AI, reproducible research, and supporting evidence-based decisions across pharmaceutical research and development.

Leads a team applying advanced AI to translational science in cardiovascular, renal, and metabolic diseases. Guides discovery of disease, action, and resistance mechanisms; translates scientific questions into scalable AI solutions; and partners with Translational Medicine and the AI Center of Excellence. Oversees data strategy, model development, causal frameworks, foundation models, and simulation approaches while ensuring scientifically robust, actionable outputs. Influences senior stakeholders, prioritizes portfolio initiatives, develops people, and delivers AI-driven impact across complex pharmaceutical R&D environments.

Lead the transformation from low-code to scalable pro-code analytics applications. Build React and TypeScript front ends, Python and FastAPI backend services, REST APIs, data integrations, testing, and CI/CD pipelines. Establish engineering standards, reusable patterns, AI-assisted development guardrails, and responsible AI practices. Coach developers transitioning to pro-code, manage change adoption, address technical risks, and report productivity and quality outcomes across enterprise analytics delivery.

Provides oncology nurse education to healthcare providers, hospitals, pharmacies, and academic and community institutions across Texas. Develops and executes education strategies, delivers disease-state and product training, supports adverse-event and patient-management education, gathers customer insights, plans accounts, and builds collaborative relationships. Requires extensive travel and independent territory management while maintaining ethical business conduct and strong communication.

Leads AstraZeneca’s clinical AI research agenda, directing AI/ML methodology for clinical development from Phase I through Phase III. Responsibilities include managing researchers, developing multimodal and predictive models, establishing evaluation and methodological standards, translating research into regulated environments, collaborating with clinical and regulatory teams, engaging external scientific bodies, and building a high-performing research organization.

Leads the transformation of translational and biomarker data into standardized, AI-ready data products for drug discovery and development. Oversees data standards, catalogs, metadata, harmonization, quality frameworks, APIs, automation, and enterprise integration. Manages a distributed team of 12–15 data stewards and engineers, establishes multi-year strategy, coordinates cross-functional stakeholders, oversees budgets, and advances FAIR data practices, governance, and AI-enabled workflows across therapeutic areas and research partners.