Jobs at AstraZeneca PLC

Lead design, development, qualification, and execution of biomarker assays and studies using human biospecimens to inform translational decisions. Oversee biospecimen operations, ensure quality/compliance, interpret multidimensional data, enable cross-functional and external collaborations, and communicate findings to shape program strategy and clinical decision-making.

Serve as strategic IT business partner to the Chief Medical Officer organization for R&D Quality, aligning technology roadmaps, budgets, and AI/ML-enabled solutions with business priorities. Lead and develop an IT business partnering team, manage delivery and budgets, assess proposals, drive IT strategy, risk and service management, and collaborate with global stakeholders to improve quality, efficiency, and decision-making in a regulated pharma R&D environment.

Lead and consolidate distributed testing teams into a single quality engineering function. Define GA-readiness standards, drive automation and CI/CD integration, establish traceability and audit readiness under GxP, and build AI evaluation and AI-assisted testing practices. Partner across product and engineering to raise automation coverage and release confidence.

Design, prototype, and deliver applied ML and agentic systems using generative AI and multi-source scientific data to improve clinical trial design. Integrate historical trials and real‑world data into production systems, ensure evaluation and regulatory-appropriate guardrails, deploy cloud-based services, and communicate results to technical and non-technical stakeholders while contributing to engineering and data science best practices.

Leads the clinical programming function for clinical and real-world evidence activities. Provides strategic and technical oversight of in-house and outsourced programming, including SAS-based datasets, tables, listings, figures, validation, quality controls, standards, and audit readiness. Leads AI and automation initiatives, manages vendor delivery and risk, partners with Statistics and other functions, and mentors programmers. Shapes programming strategy, governance, resourcing, and reusable solutions while influencing senior stakeholders.

Leads global infrastructure security engineering across OT, endpoints, email, networks, and cloud environments. Defines strategy, governance, roadmaps, and operating models while directing solution delivery, automation, risk reduction, resilience, and metrics. Manages and develops a distributed security engineering team, partners with technology, manufacturing, compliance, and Cyber Defense groups, and embeds secure-by-design controls. The role requires enterprise security leadership, technical expertise across infrastructure security domains, regulated-environment experience, and the ability to translate threats into scalable engineering outcomes.

Coordinates clinical data management deliverables for global studies, overseeing data capture, cleaning, query management, reconciliation, documentation, vendor performance, database integrity, and regulatory inspection readiness. Partners with clinical operations, biostatistics, safety, programming, and external data providers to deliver high-quality datasets through database lock. Identifies and mitigates risks, ensures adherence to clinical data standards and Trial Master File requirements, supports continuous improvement, and mentors junior colleagues.

Lead discovery and delivery of AI/automation solutions for biopharma manufacturing. Identify use cases, design data/ML solutions, run experiments, govern compliance (GxP, privacy, ethical AI), manage stakeholders, budgets, risks, and transition models to production with change adoption and operational readiness.

Lead site QA operations across multiple facilities in Singapore for clinical and commercial pharmaceutical manufacturing. Establish QA organizational structure, oversee compliance for biologics, synthetics, sterile filling and warehousing, manage risk and regulatory interactions, drive technology and digital transformation, deliver budgets, and develop talent to ensure patient safety and supply reliability.

Manages clinical drug supply for radioconjugate studies, coordinating with global study teams, quality, manufacturing, logistics, CROs, and vendors. Develops supply plans, timelines, forecasts, and capacity plans; oversees ordering, tracking, shipping, and receipt of clinical supplies. Monitors supply chain risks, resolves escalations, manages deviations and corrective actions, supports pharmacy manuals, and implements process improvements to ensure study continuity and patient supply availability.

Provides hands-on technical leadership for humanoid robotics use cases, including architecture, validation, perception, manipulation, motion planning, and physical-system deployment. Acts as AstraZeneca’s internal technical anchor and primary partner contact, reviewing external engineering work and ensuring GMP-ready quality. Develops robotics systems using ROS/ROS 2, Python, C++, simulation environments, vision, sensing, and sensor fusion. Collaborates in an evolving, regulated pharmaceutical manufacturing environment.

Provide strategic and operational regulatory leadership for oncology products across development, commercialization and life cycle management. Lead global/regional regulatory strategy, major submissions (IND/NDA/BLA/CTA), health authority interactions, labeling negotiations, dossier construction, and cross-functional teams to secure approvals and manage risks.

Own the vision, strategy, roadmap, and full lifecycle of a new AI-native clinical research product. Lead cross-functional engineering, design, data science, and commercial teams through influence, validate customer needs, launch products, and drive adoption and commercial outcomes. Apply AI/ML to clinical development and operations while balancing usability, connectivity, regulatory compliance, and data standards. Engage executive stakeholders, enterprise customers, data providers, and standards bodies.

Develop and deploy statistical, machine learning, forecasting, causal inference, marketing mix, recommendation, and patient targeting models using healthcare data. Partner with commercial and cross-functional teams to generate actionable insights, while ensuring HIPAA compliance, explainability, fairness, monitoring, and governance. The role also advances AI-native analytics using Snowflake Cortex AI and coding agents, communicates findings to senior stakeholders, and supports model documentation, validation, and collaboration.

Leads statistical programming activities for oncology clinical development studies, including planning, execution, clinical study reports, regulatory submissions, commercialization, and scientific data use. Provides project and study leadership, ensures compliance with technical and regulatory requirements, applies advanced SAS programming and CDISC standards, manages concurrent activities, and collaborates with global stakeholders.

Manage the full lifecycle of Veeva-led medical affairs events, including setup, execution, closure, documentation, cost tracking, reconciliation, compliance monitoring, and stakeholder coordination. Identify process gaps, escalate risks, support audits and training, and improve event tools and procedures. Collaborate with Medical, Marketing, Compliance, Legal, Finance, IT, Sales, and other internal teams to ensure accurate, timely, and policy-compliant event delivery.

Lead metabolic research focusing on skeletal muscle physiology to drive drug discovery for CVRM diseases. Provide scientific leadership, validate targets, design in vitro/in vivo/ex vivo assays and models, manage multidisciplinary teams and collaborations, and raise scientific profile through publications and presentations.

Leads AI, automation, data, and digital solution development for Regulatory Affairs within AstraZeneca’s Respiratory and Immunology portfolio. Partners with regulatory, IT, data, and enterprise AI stakeholders to establish technology foundations, improve processes, track performance, and deliver enterprise initiatives. Provides regulatory strategy leadership across product development, commercialization, and lifecycle management. Trains staff, establishes standards for AI and automation projects, promotes adoption, and communicates outcomes to senior business leaders.

Leads the design, deployment, and adoption of AI-powered tools, computational workflows, and research data infrastructure for oncology discovery. Acts as an AI Architect, establishes data standards and best practices, develops agentic and LLM-integrated solutions, and extracts insights from complex biological datasets. The role collaborates across wet-lab science, data science, R&D IT, and platform teams while mentoring colleagues, influencing technical strategy, and presenting scientific and technical findings.

Manages planning, preparation, quality control, and finalization of nonclinical contributions, including SEND datasets, for global regulatory submissions across the product lifecycle. Leads established-brand maintenance and a portfolio of projects, coordinating scientists and regulatory colleagues to meet timelines and quality standards. Requires strong project management, communication, prioritization, scientific writing, regulatory knowledge, and experience with FDA, EMA, ICH, and regulated document systems. AI-enabled submission tools and relevant certifications are desirable.