Software Developer for AI-Driven Causal Analysis of Omics Data (m/f)

Language: English (UK)Location Esch-sur-AlzetteCountry: Luxembourg Organisation data: Biomedical Data ScienceJob Number: UOL08478Contract Type: Fixed Term ContractDuration 18 MonthSchedule Type: Full TimeWork Hours 40.0 Hours per WeekExpected Start Date: 01/11/2026 Functions: ICT and SAP competence centreJob Level: level 2Role Type: Open PositionJob (internal): Software developerExpertise: Administration/ Corporate Functions ------Service Now - copy&paste-Position: 50027896 About the LCSBThe University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your roleWe seek a highly motivated software developer to join a FNR JUMP-funded project translating a validated suite of bioinformatics software tools into CausalOmics, an integrated software platform for causal analysis of omics data. The platform identifies root causal genes and candidate drug targets from multi-omics datasets. The candidate will contribute to the further development of the unified, point-and-click user interface, implement interactive visualization frameworks for complex biological networks, and develop the core platform architecture that connects the analysis modules, spanning preprocessing, network and pathway analysis, causal reasoning, drug target assessment, and machine learning, through robust APIs. Further responsibilities include setting up the cloud deployment infrastructure (SaaS architecture, REST API) and ensuring the platform is scalable, reproducible, and accessible to users without coding or bioinformatics expertise. The role is closely linked to the CausalOmics go-to-market project, and the candidate will work directly with the project's principal investigator and its interdisciplinary...

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