3 jobs found in Basel

Unilabs is one of Europe's leading diagnostics groups — 12,500 people, 200+ laboratories across 14 countries, and more than 237 million diagnostic tests performed annually. In pathology alone, Unilabs processes tens of thousands of histopathology cases each year, with flagship digital pathology centres already operating at 100% whole slide image scanning capacity in Geneva and Lausanne. Core Responsibilities 1. Core Agentic Architecture & Retrospective Extraction LLM Extraction Agents: Design, build, and maintain production-grade LLM-based extraction pipelines to automatically parse years of unstructured PDF pathology reports. Structured Parsing: Programmatically extract clinical entities such as diagnoses, tumor grades, pathological staging, and critical biomarker statuses from raw, free-text documents. Framework Selection: Evaluate and integrate specialized agentic frameworks and orchestration tooling (e.g., LangChain, LlamaIndex, or direct LLM API...

The Machine Learning Engineer will lead the development of the core algorithms powering Moonlight’s AI platform. This high-impact role drives execution of the R&D roadmap, sitting at the intersection of computer vision, engineering, and product development. Responsibilities: Develop, validate, and document deep learning algorithms to extract molecular results from whole slide images Lead experimentation to build novel algorithms: define hypotheses, execute experiments, and iterate while protecting the critical path Collaborate closely with clinical, product, and business functions to translate requirements into model specifications Partner with data engineering to build scalable pipelines for data processing, traceability, and compliance Contribute to building Moonlight’s AI platform, including model integration, performance optimization, and deployment workflows Develop explainability and interpretability methods to support clinical trust and validation...

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...