Senior Specialist Scientific IT (f/m/x)

DZNE - German Center for Neurodegenerative Diseases; Bonn; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Family service

Health promotion programs

Job summary

The German Center for Neurodegenerative Diseases (DZNE) invites applications for a role supporting the Team Lead in implementing the AI strategy and taking operational responsibility for areas such as MLOps, Data Engineering, Security, and UX/Pedagogy. The position is based in Bonn with up to two remote workdays per week upon agreement.

You will design MLOps frameworks, build data pipelines for large biomedical datasets, ensure data protection, and develop training materials and sessions in

Qualifications

• 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, 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.

Responsibilities

• 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

Skills

German language

English language

Teamwork

Education

Degree in computer science / data science / IT security

Tools

Kubernetes

CI/CD

AI frameworks

Job description

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.

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
  

Your profile in cutting edge research

• 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

Your role in cutting-edge research

You will take on specific focus areas based on your experience and interests:

• 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

The position is based in Bonn, and up to two days of remote work per week are possible upon agreement.

Because we know that family is important, we support you with our family service

Health promotion

Through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund

Your application

Excellence in research thrives on diverse perspectives and experiences. We stand for a respectful and open culture. We promote equal opportunities, remove barriers, and welcome applications from people across all dimensions of diversity. We particularly welcome applications from people with disabilities.