AstraZenecaATLAS Lead
AstraZeneca is hiring an ATLAS Lead. Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Atlas, health informatics and real world data among its tools and skills.
- Level classes it as a lead role.
- AstraZeneca has 1,300+ other open roles on Level.
AI in this role
Lead ATLAS strategy, real-world data analysis, and end-to-end visualization dashboard development for medical evidence needs.
• Translate Medical evidence needs and other business needs into clear 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.
Insight Report Generation
• Identify and assess fit-for-purpose local real-world data sources.
• Work with relevant stakeholders to define cohorts, metrics and reporting logic, and generate insight reports
that reflect local clinical practice and support evidence-based decision-making.
Visualisation Dashboard Development & Maintenance
• Translate insight reports into impactful analytics and dashboard solutions to support smarter decisions
across the enterprise.
• Lead the end-to-end development and maintenance of ATLAS visualisation dashboards, including data
preparation, KPI definition, visualisation design and development, user acceptance testing, deployment,
user feedback and ongoing enhancements.Stakeholder Engagement & Governance
• Collaborate with Medical, IBEX, IT, Data Science, and external partners to build consensus, and ensure
analytics and dashboard solutions are intuitive, actionable and aligned with business needs.
• Ensure that data access, dashboard development and use comply with applicable local regulations and
AstraZeneca policies.
Global Collaboration & Implementation
• Provide regular updates to the Global ATLAS team on project progress, key decisions, risks, milestones and
KPIs.
• Engage local teams to support successful implementation, adoption and continuous improvement of ATLAS
solutions, and share local insights and best practices with the global team.
REQUIREMENTS
Education & Experience
• Master’s degree or above in Health/Medical Informatics, Mathematics, Statistics, Epidemiology, Computer
Science, Life Sciences, or a related quantitative field; a doctoral degree is an advantage.
• Typically 5+ years of relevant experience in pharmaceutical, biotechnology, healthcare data, digital health,
consulting, CRO, academic or research environment, with demonstrated experience in data analytics,
dashboard development, business intelligence, reporting, or data management.
Technical & Professional Capabilities
• Strong experience in data preparation, integration, curation, validation, and TFL/reporting logic checks,
together with a sound understanding of healthcare data structures, coding systems, database operational
definitions, and the limitations of secondary healthcare data.
• Hands-on Power BI, Tableau, or similar dashboarding tools. Experience in end-to-end dashboard
development is essential, including data sourcing, transformation, KPI definition, visualisation, testing,
deployment, and maintenance.
• A good understanding of local health data regulations, de-identification, and data governance practices is
required. You should also be comfortable translating business or medical needs into practical data strategy,
analytics plans, and dashboard solutions.
• Excellent stakeholder leadership, influencing, negotiation, facilitation and conflict-resolution skills across
scientific, technical, legal, procurement and external partner communities.
• Ability to work independently in an evolving environment, set priorities, create practical operating models
and deliver through ambiguity without compromising quality or compliance.
• Excellent written and verbal communication skills in Chinese and English.
Preferred Qualifications
• Experience or familiarity with AI-enabled tools for process improvement, validation, documentation, or
analytics acceleration is preferred.
Date Posted
11-9月-2026Closing Date
29-11月-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
How we rate this
ATLAS Lead at AstraZeneca rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where health informatics was part of your work. What did you do?
- Tell me about a project where real world data was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where dashboard development was part of your work. What did you do?
- Tell me about a project where project management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Health Informatics, Real World Data, Data Analytics, Dashboard Development, and Project Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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