Language Models for Pediatric Data Analysis
Role details
Job location
Tech stack
Job description
The successful candidate will be responsible for adapting and developing locally hosted language models for diagnostic coding tasks. This will involve
- Model development
- Rigorous model validation on newly created benchmarks, and
- Safe deployment
Further activities and duties include:
- Publish research results in top-tier venues (e.g. leading biomedical journals or ML conferences)., We look forward to receiving your online application including the following documents (concatenated into one PDF):
- CV
- Bachelor and Master transcripts
- Motivation letter (motivation & fit to the project and the host lab)
- Letters of recommendation (if available, also just a list of names that can be queried for letters of recommendation would suffice)
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Requirements
We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and clinical data usability., * PhD in a relevant field (e.g., Computer Science, Medical AI, Medical informatics) or a closely related field
- Strong programming skills in Python and experience with modern ML/AI/LLM stacks (PyTorch, HuggingFace, Ollama, vllm, distributed training, verl, etc.)
- German proficiency and fluency at C1 level or higher, required for analyzing local patient records
- Prior experience with LLMs, clinical NLP, RAG, vector DBs is highly welcome
- Good computational engineering practices: version control, reproducible pipelines, batch job management, etc.
- Familiarity with Docker, local server environments, and GPU-based infrastructure
- Experience with medical data coding (ICD-10) and healthcare settings is a plus
- Ability to work independently, contribute to team efforts, and communicate effectively in English and German
Benefits & conditions
- A full-time postdoctoral position at ETH Zurich, one of the world's leading research universities
- This project is a collaboration between our lab at ETH Zurich (D-BSSE located in Basel) and the University Children's Hospital Basel
- Our group is engaged with the ETH AI Center and SwissAI initiative, giving our group members access to this vibrant and world-class AI community
- Access to cutting-edge computational resources, including large GPU clusters, as well as clinical collaborations
- Employment in a highly interdisciplinary environment at Department of Biosystems Science and Engineering (D-BSSE) located in Basel, embedded in a major hub for medical and life science and biotech research
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