Contract állások Németországban (it programozás, fejlesztés)

• Develop and manage strategic progress plans and digital transformation roadmaps with measurable outcomes in close collaboration with our CEO
• Drive a culture of continuous improvement and innovation across teams and leadership

• Responsibility for the entire design process from initial discovery to final delivery
• Identification of research needs and transformation of insights into intuitive, accessible, and inclusive user experiences

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

You take overall responsibility for planning, managing, and executing our SAP RISE migration, leading internal and external project teams from SAP, hyperscalers, and integration partners...

• Supporting the creation and maintenance of onboarding materials and internal documentation;
• Helping structure and document internal processes and improvement initiatives;
• Supporting communication and knowledge-sharing activities within the team;

Project Delivery: Owns end-to-end delivery of medium to large transformation projects, ensuring alignment with business strategy and measurable benefits realisation...

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Lead and support application onboarding to IAM platforms from consultation to integration. You'll be the go-to expert making it all work
• Collaborate closely with cross-​functional teams to architect, implement, and optimize secure identity solutions that scale with the business

• Lead and mentor a team of developers, fostering a culture of excellence, collaboration, and innovation
• Technical strategy: Drive architectural decisions, coding standards, and best practices across the stack

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

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...

• Performance analysis of user codes and guidelines for optimization
• Benchmarking time-to-solution and energy-to-solution
• Optimizing HPC operational parameter towards energy efficiency
• Assessment of performance portability
• Guiding scientists through the optimization process