2 data warehouse jobs found in Basel

As a Data Engineer, you will build and implement the core data, ML, and deployment infrastructure that enables scalable, reproducible, and traceable machine learning systems for use in clinical diagnostics. In addition, your code will ensure the traceability and quality of all digitized data from ingestion to research, model development, clinical validation, and inference. This high-impact role spans data engineering, MLOps, and ML platform development in a regulated environment. Responsibilities: Build robust data ingestion pipelines for multi-modal datasets consisting of gigapixel images paired with genomic results and clinical metadata Together with the Software Engineer, design unit testing, logging, and controls to ensure a high-quality and complete data warehouse spanning structured and unstructured data Ensure data quality, consistency, and traceability by authoring the ML platform that enables training, evaluation, deployment, and monitoring of ML models...

Basel 80–100% | immediately or by arrangement Do you want to actively contribute to improving data quality and sustainably strengthen the use of data within your organization? In this role, you will play a key part in the operational management and measurable improvement and further development of data quality. You will create transparency regarding the status of critical data, analyze deviations, and drive targeted improvement measures. You will work closely with data owners, data stewards, business units, and IT. Become part of the team and apply now! Here's how you can get involved: Defining, maintaining, and further developing entity-specific data quality KPIs for prioritized business data objects Setting up and operating targeted monitoring for critical business data objects, including transparent presentation of status, trends, and improvements. Analyzing quality deviations at the data object level and conducting structured root cause analyses in close...