Medical life állások, munkák it programozás, fejlesztés területen

• Enable and optimize CI/CD practices to ensure reliable, automated software delivery.
• Own and maintain development and test environments, ensuring stability, scalability, and reproducibility.
• Drive automation across build, test, deployment, and release processes.

We are looking for one or two software engineers to join the team which is implementing control software for the ELT and its instruments. The CSE department comprises a team of almost 50 engineers organized in 5 groups and is responsible for the definition, design and implementation of complex...

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

Define and improve metrics reflecting product performance, service quality, and operational efficiency Analyze client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance Work on problems related to attrition / churn, customer behavior,...

• Partnering with IT and business stakeholders to translate operational needs into scalable ServiceNow solutions, including service catalogs, workflows, and reporting
• Facilitating workshops and aligning ITIL-based processes with ServiceNow capabilities to drive adoption and process excellence

• Designing the overall system architecture for complex research platforms
• Conceptualizing data submission workflows for sensitive medical imaging data
• Defining architectural concepts for benchmarking and evaluation platforms, including secure execution of submitted models

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

Model Onboarding & Deployment: Take AI models from internal and external users into production inference workflows. Package and deploy models as containerized inference endpoints. Define and operate validation gates covering functional checks, performance benchmarks, and safety/​security...

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners

• Analyze user requirements, clinical and fitness workflows, market trends, and competitive landscapes.
• Translate complex insights into actionable software concepts, user stories, and solution requirements.