Specialist Scientific IT
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Role details
Tech stack
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Job description
You will support the Team Lead in implementing the AI strategy and assume operational responsibility for the assigned functional areas (MLOps, Data Engineering, Security, UX/Pedagogy).
Depending on your focus area, your responsibilities will include the following:
- Design, implementation, and operation of MLOps frameworks (e.g., Kubeflow, MLflow)
- Building and optimizing data pipelines for large biomedical datasets
- Ensuring data protection and security standards are met in all AI processes
- Developing user and training materials
- conducting training sessions on AI and HPC topics. Working closely with researchers to integrate AI solutions into their workflows, * MLOps / Platform Engineering - Setting up and operating CI/CD pipelines, model deployment, and scaling to GPU clusters
- Data Engineering / RAG Specialist - Development of data ingestion and retrieval-augmented generation workflows, data governance
- Security / Privacy Engineering - Implementation of data protection and security measures, audits, compliance management
- Product / UX / Pedagogy - Design of user-friendly AI tools, explainable AI concepts, internal training sessions and workshops
Requirements
- A completed academic degree in computer science, data science, IT security, or related fields
- Several years of experience in at least one of the aforementioned areas of focus, preferably in a research or HPC environment
- Practical knowledge of container orchestration (Kubernetes), CI/CD, and modern AI frameworks.
- Excellent command of German and English, as well as strong communication skills
- A team-oriented approach and a willingness to learn new topics
Benefits & conditions
Our Bonn employees enjoy a campus surrounded by greenery, with on-site parking and public transport connections as well our company restaurant
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Innovation and internationality: A forward-looking infrastructure, modern laboratory and office equipment, software tools and the opportunity for international exchange with your colleagues from 65 nations
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Work-life balance: We reconcile work and private life with flexible working hours, 30 days’ holiday (On top free on Christmas Eve and New Year’s Eve) and subsidised job/ Germany ticket options
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Möglichkeit Mobiles Arbeiten: The position is based in Bonn, and up to two days of remote work per week are possible upon agreement.
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Family-conscious corporate culture: Because we know that familie is important, we support you with our family service
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Health promotion: Through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund
About the company
The German Center for Neurodegenerative Diseases (DZNE) is a globally leading, internationally oriented research institution dedicated to discovering new approaches for the prevention and treatment of neurodegenerative diseases.
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