ATLAS Lead

About the role

AstraZeneca is looking for an ATLAS Lead to turn medical evidence needs and business needs into clear ATLAS strategies, use cases, project plans, deliverables, timelines and KPIs. The role leads projects from requirements gathering and data-source identification through dashboard launch and continuous improvement, and works closely with local teams and the global ATLAS team.

Key responsibilities

• Translate medical evidence needs and business needs into ATLAS strategy, use cases, project plans, deliverables, timelines and KPIs.
• Lead projects from requirements gathering and data-source identification through dashboard launch and continuous improvement.
• Identify and assess fit-for-purpose local real-world data sources, and work with stakeholders to define cohorts, metrics and reporting logic, generating insight reports that reflect local clinical practice.
• Turn insight reports into analytics and dashboard solutions, leading end-to-end dashboard development and maintenance, including data preparation, KPI definition, visualisation design, user acceptance testing, deployment, user feedback and enhancements.
• Collaborate with Medical, IBEX, IT, Data Science and external partners so that analytics and dashboards are intuitive, actionable and aligned with business needs, while ensuring compliance with local regulations and AstraZeneca policies.
• Keep the Global ATLAS team updated on progress, decisions, risks, milestones and KPIs, and help local teams adopt and improve ATLAS solutions.

Required profile

• Master's degree or above in Health/Medical Informatics, Mathematics, Statistics, Epidemiology, Computer Science, Life Sciences or a related quantitative field; a doctorate is an advantage.
• Typically 5+ years of experience in pharmaceutical, biotechnology, healthcare data, digital health, consulting, CRO, academic or research settings, with demonstrated experience in data analytics, dashboard development, business intelligence, reporting or data management.
• Excellent written and verbal communication skills in Chinese and English.
• Preferred: experience or familiarity with AI-enabled tools for process improvement, validation, documentation or analytics acceleration.

Required skills

• Data preparation, integration, curation, validation and TFL/reporting logic checks, with knowledge of healthcare data structures, coding systems and database operational definitions.
• Hands-on Power BI, Tableau or similar dashboarding tools, with end-to-end dashboard development experience.
• Understanding of local health data regulations, de-identification and data governance.
• Stakeholder leadership, negotiation, facilitation and conflict resolution across scientific, technical, legal, procurement and external partner communities.