Role overview
The Luxembourg Institute of Health (LIH) is seeking a highly motivated Data Scientist in AI with strong expertise in immunological data analysis and one or several of the following data types: multi-omics (e.g., RNA-seq, DNA methylation, proteomics), single-cell technologies (CyTOF, scRNA-seq), structural biology and computational immunology approaches.
The successful candidate will support the expanding research activities at the Department of Infection and Immunity (DII) and the Department of Medical Informatics (DMI) with a particular emphasis on high-throughput, reproducible, service-oriented bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how the immune system develops, functions, and responds to life experiences. In this research associated position you'll bring AI/ML expertise to multiple research groups, helping immunologists leverage state-of-the-art computational methods they couldn't otherwise access. You'll be the AI/ML specialist who makes cutting-edge methods accessible and applicable to biological discovery.
What we're looking for
- PhD in biology/biochemistry or minimum MSc in Computer Science with a clear biological application
- Broad interest in biology and an understanding of immunology fundamentals (immune cells, data types, assays),
- Proven experience of applying AI/ML methods to complex, real-world biological problems generating interpretable, biologically meaningful models
- Strong foundation in machine learning theory and practice: you understand not just how to use tools, but how they work
- Deep learning expertise with modern frameworks (PyTorch, TensorFlow, JAX)
- Experience developing, training, and validating ML/DL models (not just applying existing tools)
- Understanding of model interpretation, evaluation metrics, and validation strategies
- Experience with large-scale data processing and high-dimensional datasets
- Ability to create reproducible workflows and well-documented code
- Excellent communication skills—you can explain complex AI/ML concepts to biologists
- Enthusiastic team player interested in working in a collaborative interdisciplinary environment and learning from domain experts
- Service-oriented approach—you enjoy helping others succeed with your expertise
- Fluent English
*This role is subject to a 12-month probationary period.
Please note that the selected candidate will be required to travel between the two departments located in Luxembourg and Esch.**
Applications including a letter detailing your motivation and a curriculum vitae should be sent through our website.
Please apply ONLINE formally through this web page.
Applications by email will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.