Senior Specialist In Computational Pathology Delivery Operations (m/f/d)
AstraZeneca
Munich, Germany
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Computational pathology workflows
Data ingestion, curation, quality control
Ai/ml model development
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AstraZeneca is seeking a Senior Specialist in Computational Pathology Delivery Operations in Munich, Germany. The role focuses on executing computational pathology workflows, managing large-scale imaging datasets, and ensuring data quality for AI/ML model development and biomarker discovery.
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Job Summary
This role is responsible for ensuring the reliable execution of computational pathology workflows, including data ingestion, curation, quality control, and analysis activities.
The position plays a key role in ensuring that imaging data, metadata, annotations, and analysis outputs are fit for purpose for AI development, scientific decision-making, and potential regulatory applications.
Individual development opportunities with a focus on lifelong learning, trust, appreciation, and room to shape things in a focused and passionate team are offered.
Matching Summary
Match Score: 75
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AstraZeneca is seeking a Senior Specialist in Computational Pathology Delivery Operations in Munich, Germany. The role focuses on executing computational pathology workflows, managing large-scale imaging datasets, and ensuring data quality for AI/ML model development and biomarker discovery.
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Skills & Requirements
Must-have
Computational pathology workflows
Data ingestion, curation, quality control
AI/ML model development
Biomarker discovery programs
Digital pathology images and metadata
Cloud-based data platforms
Nice-to-have
Lifelong learning opportunities
Collaborative and agile work environment
Diverse and inclusive work culture
Pragmatic, fit-for-purpose solutions
Key Requirements
Bachelor’s or Master’s degree in data science, bioinformatics, biomedical informatics, biomedical engineering, or a related field
Experience in data management within healthcare, diagnostics, or life sciences
Fluency with FAIR data principles
Experience with large-scale imaging datasets
Experience with dataset versioning, reproducible data preparation workflows, and quality control processes
Working knowledge of Python or similar scripting languages