Wissenschaftliche Mitarbeiterin/Wissenschaftlicher Mitarbeiter (m/w/d) DECIPHER
Core
Develop, validate, and clinically integrate a modular Prevention Agent for personalized cancer prevention and screening recommendations using local LLMs and agent systems.
Role type
Senior IC machine-learning engineer (healthcare AI)
Builds
On-premise LLM-based prevention and screening recommendation systems for European healthcare settings
Domain
Healthcare + Artificial Intelligence (LLMs, Agents, Genomics)
Deliverable
production ML models
Required skills
Python, Machine Learning, Data Science, Large Language Models, Retrieval-Augmented Generation, API development, Data pipelines, On-premise deployment, System evaluation
Preferred skills
Agent system architecture, Interoperability, Clinical data integration, User interface development, Scientific documentation
Technologies
Python, LLMs, RAG, APIs, Local deployment frameworks
Responsibilities
Develop interfaces between clinical data sources and local LLM/agent systems; Build data pipelines for interoperable health data; Co-develop 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 ensuring data privacy and security; Develop user interfaces and demonstrators for clinical evaluation; Evaluate system robustness and medical plausibility; Collaborate with clinical and technical partners; Document software and contribute to scientific publications.
