Wissenschaftliche Mitarbeiterin/Wissenschaftlicher Mitarbeiter (m/w/d) DECIPHER
Core
Developing and integrating clinical data pipelines and local LLM/agent systems to support personalized cancer prevention and screening recommendations.
Role type
Research Software Engineer (AI/ML)
Builds
Modular Prevention Agent, data pipelines, APIs, and on-premise LLM deployments for European healthcare systems.
Domain
Healthcare + Artificial Intelligence
Deliverable
production ML models
Required skills
Python, Machine Learning, Data Science, Large Language Models, Agent-based systems, Retrieval-Augmented Generation, API development, Data pipeline engineering, On-premise deployment, System evaluation
Preferred skills
Experience with sensitive/heterogeneous data, Local model inference optimization, Interdisciplinary research in clinical AI
Technologies
Python, LLMs, RAG, APIs, On-premise infrastructure
Responsibilities
Develop interfaces between clinical data sources and local LLM systems; Build data pipelines for interoperable health data; Contribute to technical architecture of LLM agents; Integrate clinical information into agent workflows; Develop APIs and software components for secure system communication; Implement on-premise LLM deployments with security and privacy; Develop user interfaces and demonstrators; Evaluate system robustness and clinical plausibility; Collaborate with clinical and technical partners; Document software and contribute to scientific publications.
