Jobs at AstraZeneca PLC

Develops outbound pipeline among pharma, biotech, and CRO accounts through multichannel prospecting, account research, discovery calls, lead qualification, and opportunity progression. Maintains Salesforce data, follows up on inbound and event leads, partners with Marketing, Sales, and Product, and shares market insights. Represents Evinova at industry events while managing complex, lengthy sales cycles involving multiple stakeholders.

Director-level AI Engineer responsible for setting technical direction and delivery standards across Generative AI, AI Agent, and Digital Twin initiatives. The role defines architectures and playbooks, reviews designs and code, guides production deployment, advises stakeholders, manages technical risks, evaluates emerging technologies, and mentors engineers across teams without direct reports. Requires deep hands-on expertise in Python, agentic AI, software development, and scalable production systems, along with strong technical leadership and stakeholder influence.

Build and operate production-grade machine learning, data engineering, and agentic AI systems for commercial analytics in rare disease. Responsibilities include Snowflake data pipelines, model deployment, CI/CD, monitoring, prompt and agent workflow design, governance, security, compliance, testing, documentation, and enterprise integrations. The role partners with data scientists and commercial stakeholders to deliver scalable, auditable AI capabilities in a regulated healthcare environment.

Lead the transformation of low-code analytics into scalable pro-code applications. Build React and TypeScript front ends, Python and FastAPI services, REST APIs, data integrations, testing, and CI/CD pipelines. Coach developers transitioning to pro-code, establish reusable engineering patterns, and promote responsible AI-assisted development. Manage technical risks, performance, quality, governance, adoption metrics, and cross-functional delivery across the software development lifecycle.

Owns the roadmap, operations, vendor relationships, governance, costs, and user enablement for cancer genomics, single-cell, and spatial analytics platforms. The role coordinates scientists, engineers, vendors, procurement, and finance; ensures FAIR data practices, privacy, security, service levels, integrations, AI governance, and regional deployments; and manages platform renewals, incidents, releases, documentation, and financial planning.

Own the R&D agentic AI platform, including its roadmap, skills marketplace, data connectors, governed access, onboarding, support, usage metrics, and cost management. Partner with AI scientists, engineers, security, architecture, data owners, finance, and enterprise platform teams to prioritize work, define requirements, manage risks, and deliver a consistent user experience in a regulated environment.

Leads AstraZeneca’s enterprise technology architecture and strategy across cloud, data, AI, platforms, and digital products. Establishes architectural guardrails, reusable platforms, AI capabilities, API-first patterns, and internal developer experiences. Advises executive stakeholders, drives transformation and modernization, embeds security and regulatory compliance, and develops a global architecture and technology leadership community. Success includes faster decisions, increased platform reuse, greater AI adoption, improved developer productivity, and reduced complexity and cost.

Lead hands-on engineering for AstraZeneca’s APD Platform, designing and operating scalable data pipelines, data products, AI applications, and machine learning capabilities. Responsibilities include data integration, governance, quality, lineage, MLOps, generative AI, DevOps, cloud engineering, architecture, technical standards, mentoring, and stakeholder collaboration. The role supports secure, reliable, and reusable capabilities for pharmaceutical R&D while providing technical leadership across multidisciplinary teams.

Leads the U.S. Oncology CRM product strategy and technical activation of Salesforce Life Science Cloud, Marketing Cloud, Data Cloud, and Agentforce. Translates business needs into scalable architectures, modernizes integrations through API-first and event-driven designs, and enables AI-driven omnichannel engagement. Partners with global product teams, leads engineering squads, governs vendors, and establishes DevSecOps, delivery, quality, and architecture standards. The role requires deep Salesforce, CRM, integration, data, agile leadership, and oncology domain expertise.

Own the technical execution and optimization of U.S. oncology CRM and digital engagement platforms. Configure Salesforce Life Science Cloud, Marketing Cloud, and Data Cloud; support Agentforce and omnichannel journeys; build API-first and event-driven integrations with claims and EHR data; lead engineering squads using Agile, DevSecOps, GitFlow, CI/CD, and automated testing; and review vendor deliverables for architectural and code quality compliance.

Leads IT portfolio performance, financial planning, budgeting, forecasting, governance, reporting, data standards, vendor and workforce oversight, operational excellence, and resilience initiatives. The role develops dashboards and predictive insights, improves processes through automation, aligns technology strategy with execution, and facilitates leadership forums. It partners globally across technology, cybersecurity, infrastructure, finance, and business teams to optimize resources, manage risks, strengthen continuity, and improve delivery outcomes.

Own and evolve the team’s CI/CD and delivery infrastructure across repositories, environments, and deployment targets. Lead release engineering, infrastructure as code, supply-chain security, vulnerability management, and audit-ready compliance evidence for regulated software and medical-device processes. Contribute hands-on Python development, code reviews, testing, and feature delivery. Partner with central IT, cybersecurity, quality, cloud, and platform teams while coaching colleagues and documenting sustainable DevOps practices.

Build and maintain scalable data infrastructure, ETL pipelines, ingestion systems, and data products supporting Oncology R&D. Collaborate with data scientists and stakeholders, implement governance and FAIR data practices, ensure pipeline reliability and quality, and work across cloud, HPC, and Linux environments. The role also involves orchestration, metadata and ontology management, scientific data integration, testing, and support for biological and omics data.

Manage and evolve the enterprise BPM platform through strategy, governance, administration, and BPMN 2.0 process modeling. Optimize and redesign processes, identify AI and automation opportunities, maintain standards, support software-provider relationships, and deliver user onboarding, training, and certification. The role also involves Agile delivery, backlog management, status analysis, and collaboration across global teams.

Lead SAP PaPM solution design for operational transfer pricing, tax, financial allocation, and analytics capabilities within AstraZeneca’s global S/4HANA transformation. Define data models, business rules, integrations, technical documentation, testing, governance, localization, deployment, migration, cutover, and hypercare support. Collaborate with business stakeholders, IT teams, product managers, subject matter experts, and external partners to deliver a standardized global SAP solution.

Build and deploy agentic AI systems and predictive biological models to accelerate drug target identification and validation. Collaborate with therapeutic-area scientists, develop production-quality Python tools and pipelines, evaluate foundation and perturbation models, and communicate findings to technical and scientific audiences. The role also involves publications, conference presentations, multimodal biological data integration, and cross-functional partnerships across AstraZeneca’s research and AI organizations.

Leads a team responsible for enterprise DevOps and platform engineering services. Owns the reliability, support, governance, and improvement of tools including GitHub, GitHub Actions, Jira, Confluence, SonarQube, and Artifactory. Directs upgrades, integrations, CI/CD improvements, incident resolution, prioritization, service metrics, compliance, automation, and AI adoption while providing technical guidance and stakeholder leadership.

Own the strategy, roadmap, backlog, and adoption of enterprise developer tooling platforms, including JFrog Artifactory, JFrog Xray, and SonarQube. Define secure golden paths, automated governance, CI/CD integrations, quality gates, and self-service workflows. Partner with engineering, security, compliance, architecture, and development teams to improve developer experience, software quality, vulnerability management, and delivery efficiency. Track adoption and product metrics while leading prioritization, communications, upgrades, and change management.

Leads strategy, vision, roadmap, prioritization, adoption, governance, and enterprise-scale delivery for DevOps platforms including Jira, Confluence, GitHub, and GitHub Copilot. Manages Product Owners, aligns senior stakeholders, embeds security and compliance, and drives scalable platform services for 20,000–30,000 users. Requires extensive product leadership, portfolio management, DevOps expertise, people management, cross-functional influence, and experience driving adoption in complex enterprise environments.

Leads AstraZeneca’s enterprise Data and AI forward engineering strategy across Finance, HR, Legal, Compliance, M&A and other enabling functions. Builds data products, AI and agentic solutions, engineering capabilities, governance and responsible AI practices. Connects experimentation to measurable business value, develops AI skills, manages distributed teams and strategic partners, and improves operational resilience, automation and FinOps. The role also shapes product-focused operating models, talent development and adoption of AI across India and the UK.