The Role
Join the Operational Data Strategy (ODS) team to turn clinical operations data into action and help AstraZeneca deliver 20 new medicines by 2030 while reducing $300M in waste; youll develop advanced analyses and machinelearning models (dashboards in Power BI are for storytelling not the core output) that power endtoend aggregated planningone unified view that sharpens prioritization flags risks earlier accelerates tradeoffs and aligns clinical demand and supply; reporting to the Strategic Analytics & Enablement Lead youll shape how R&D data is collected organized validated and analyzed driving portfoliowide transparency and evidencebased decisions while exemplifying critical thinking a growth mindset grit and resilience and mentoring peers through highquality delivery.
In this role you will
Deliver scalable well-governed analytics: translate operational needs into robust analyses and ML models; use dashboards for storytelling.
Own the end-to-end workflow: frame hypotheses source and prep data (DBs/APIs/files) run exploratory/descriptive/predictive analyses and present clear actionable insights.
Ensure quality and speed: apply reviews and source checks state assumptions/limits stay in scope and respond to ad hoc requests with timely outputs.
Partner and enable work with data engineering on ETL train users share best practices and build adoption of ODS analytics.
Grow and lead by example: stay current on methods/tools and model integrity initiative adaptability organization and strategic thinking.
Education Qualifications Skills and Experience
Essential
Bachelors degree in computer science data/analytics statistics engineering or related field; 3 years experience.
Advanced hands-on with Python and visualization (Power BI Spotfire); track record delivering advanced analytics not just dashboards.
Proficient with SQL/NoSQL ETL cloud platforms and software best practices (reproducibility version control).
Proven complex analysis in business/scientific domains including Clinical Operations.
Strong grasp of data science ML algorithms statistical inference and model evaluation.
Clear written and verbal English; able to explain assumptions uncertainties and limitations.
Desired
Experience in Agile delivery and exposure to modern MLOps.
Evidence of improving processes documentation quality standards and driving stakeholder adoption.
Are you interested in working at AZ apply today!
AstraZenecais an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.
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Date Posted
20-Dec-2025Closing Date
04-Jan-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.
Required Experience:
Senior IC
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more