Role overview
The Luxembourg Institute of Health (LIH) is seeking a highly motivated Data Scientist in AI with strong expertise in one or several of the following data types: multi-omics (e.g., DNA-seq, RNA-seq, proteomics), single-cell technologies, and foundation models in biomedicine.
The successful candidate will support the expanding research activities at theDepartment of Cancer Research (DoCR) and the Department of Medical Informatics (DMI) with a particular emphasis on high-throughput, reproducible, service-oriented bioinformatics for cancer research programs, with a strong focus on sequences, multi-omics data, and single-cell datasets. In collaboration with DoCR researchers, she/he will engage in cutting-edge research and applied projects using machine learning, deep learning, and omics data analysis
What we're looking for
- MSc/PhD degree in computer science, biomedical engineering, data science or related.
- At least 2 years of experience in a similar position.
- Expertise in AI/ML and deep learning methods, with a rigorous approach to model evaluation and validation. Experience in handling and understanding omics data.
- Strong programming skills in Python. Knowledge of R is considered an asset.
- Proficiency with modern deep learning frameworks, such as PyTorch and TensorFlow.
- Experience working in high-performance computing (HPC) environments: use of cluster computing, job schedulers, and containerization.
- Excellent problem-solving, organizational, and time-management skills.
- Strong communication skills and ability to work effectively in a team and in close collaboration with biologists and clinicians.
- Self-motivated, team spirit, and service-oriented mindset.
- Language skills: fluent command of English. Knowledge of French and/or German is considered an advantage.
Kindly note that this role is subject to a 12-month probationary period.
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.