AstraZeneca
Healthcare
SeniorSpecialist,DataScience—OperationalDataStrategy(ODS)
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“Senior Specialist, Data Science — Operational Data Strategy (ODS) at AstraZeneca. Skills: Data Science, Predictive Modeling, Data Visualization, Machine Learning. Coordinate implementation of analytical solutions. Coordinate implementation of data visualization solutions”
What You'll Achieve.
Create tangible impact in clinical operations
Industry & Context.
Critical thinking; Hypotheses development; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree in computer science, data analysis, statistics, engineering, or a related discipline, Master's degree in computer science, data analysis, statistics, applied mathematics, or a relevant discipline, Expert knowledge of analytics and visualization tools, Familiarity with database systems (SQL and NoSQL), Familiarity with ETL pipelines, Familiarity with cloud environments, Familiarity with software development best practices, Demonstrated experience developing complex data analyses, Excellent written and verbal communication skills in English, Understanding of data science principles, Understanding of machine learning algorithms, Understanding of statistical inference, Understanding of model evaluation methodologies
Nice to Have
Experience working in Agile delivery environments, Exposure to modern MLOps practices, Evidence of process improvement, Evidence of standard setting across analytics workflows, Evidence of model governance, Evidence of stakeholder adoption
What You'll Do.
Coordinate implementation of analytical solutions
Coordinate implementation of data visualization solutions
Ensure scalability of solutions
Ensure reproducibility of solutions
Ensure clear governance of solutions
Develop solutions to business challenges
Develop solutions to analytics challenges
Translate operational needs into data science deliverables
Lead advanced analytics approaches
Lead visualization approaches
Respond to ad hoc queries
Provide timely analytical outputs
Provide accurate analytical outputs
Articulate assumptions
Articulate limitations
Design strategic analytics plans
Align plans to program objectives
Align plans to portfolio objectives
Identify relevant data sources
Evaluate relevant data sources
Synthesize quantitative insights
Synthesize qualitative insights
Design machine learning models
Implement machine learning models
Evaluate machine learning models
Maintain high quality standards
Enforce quality reviews
Align analysis to hypotheses
Develop analytics trends knowledge
Apply analytics trends knowledge
Develop methodologies knowledge
Apply methodologies knowledge
Guide ODS best practices
Define best practices for data collection
Define best practices for data preprocessing
Partner on ETL handoffs
Partner on data engineering handoffs
Compile insights into figures
Compile insights into charts
Compile insights into tables
Craft concise narratives
Present complex work to principals
Present complex work to cross-functional teams
Engage dynamically with feedback
Tailor content to varied audiences
Coach specialists on communication
Build effective relationships
Manage effective relationships
Ensure utilization of ODS
Provide training on data use
Provide advice on data use
Provide training on analysis use
Provide advice on analysis use
Practice upward management
Provide timely progress updates
Provide comprehensive progress updates
Own workstreams end-to-end
Guide others to own workstreams
How You'll Work.
Team & Collaboration
Cross-functional teams; Senior stakeholders; Principals; Cross-functional engagement
Communication Scope
Written communication; Verbal communication; Clear communication; Executive presentations; Tailor content
Process & Methodology
Agile delivery environments, Workstream management
Full Job Description
**Location:** Warsaw, Poland **Hybrid model of work:** 3 days in office, 2 remote per week The Operational Data Strategy (ODS) function provides strategic oversight for how clinical operations data is collected, organized, validated, and analyzed across R&D. ODS combines advanced database and system capabilities with innovative data science methodologies to enable visual, data-driven decision making in clinical operations. ODS is a key division within R&D at AstraZeneca that partners across BioPharma to elevate evidence generation and operational excellence. We are seeking a Senior Specialist, Data Science to be a key asset within ODS, reporting to the Strategic Analytics and Enablement Lead. You will drive complex analytics programs, design and implement predictive models, and translate business needs into rigorous data science solutions that create tangible impact in clinical operations. Core deliverables emphasize advanced analytics outputs and AI/ML applications; dashboards in Power BI are supportive rather than central. You will embody our core traits—critical thinking, growth mindset, grit, and resilience—while coaching specialists and raising the quality bar across ODS. **Typical Accountabilities** * Coordinate the implementation of analytical and data visualization solutions across clinical operations, ensuring scalability, reproducibility, and clear governance. * Develop solutions to business and analytics challenges using established frameworks and tools, translating complex operational needs into robust data science deliverables. * Lead advanced analytics and visualization approaches that enable data-driven decision making; use dashboards as communication aids when appropriate. * Respond to ad hoc queries from senior stakeholders with timely, accurate analytical outputs and clearly articulated assumptions and limitations. * Frame core issues, develop and refine hypotheses, and design strategic analytics plans aligned to program and portfolio objectives in
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