Research and development specialist in clinical data science and machine learning

About The LCSB

The 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.

Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and translational medicine using a “bench-to-bedside” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page.

Your role

• Develop and optimize data processing pipelines for structured, semi‑structured, and unstructured clinical data
• Build, test, and deploy end‑to‑end AI workflows, including data ingestion, preprocessing, model training, evaluation, and inference
• Design and develop Retrieval‑Augmented Generation pipelines using embeddings, vector stores, and clinical knowledge sources
• Perform fine‑tuning of foundation models, including transformers and domain‑specific clinical models.
• Develop GenAI application workflows using APIs, e.g., Mistral, Anthropic, OpenAI, local open‑source models, agent frameworks
• Implement multilingual NLP pipelines - NER, entity linking, summarization, and ontology alignment
• Contribute to OMOP/FHIR‑based data harmonization workflows
• Support the development of agentic AI systems for clinical reasoning and decision support
• Contribute to documentation, scientific publications, and stakeholder engagement
  
  

For further information, please contact Dr. Sandrine Medves (email address: [email protected]).

Your profile

• Master’s in Computer Science, AI/ML, Biomedical Engineering, Bioinformatics, Health Informatics, or related fields
• Demonstrated hands‑on experience in designing, implementing, and deploying AI workflows—including preprocessing pipelines, model training, optimization, and deployment into production or research environments
• Proven expertise with:
• RAG pipeline development: vector databases, embedding models, retrieval optimization
• GenAI workflows using APIs: prompt chaining, orchestrators, model evaluation
• Fine‑tuning LLMs or domain‑specific models: supervised fine‑tuning, PEFT, LoRA, adapters
• Solid experience in Machine learning / deep learning frameworks, e.g., PyTorch or TensorFlow, and Data engineering, e.g. Python, Spark, SQL, NLP and transformer‑based architectures
• Experience with health data standards such as HL7 FHIR, OMOP CDM is a strong asset
• Experience working with clinical datasets, EHR systems, or biomedical text is highly desirable
• Knowledge of privacy‑preserving computation, such as federated learning, differential privacy, is a plus
• Interest in dementia, ageing, or neurological disorders is advantageous
• Fluency in English is required
  
  

We offer

• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
  
  

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter
• Names, contact information and current position of 1-2 referees who can, upon request, provide an assessment of the application. Please indicate their relationship to you
  
  

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 36 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval Campus
• Internal Title: Research and development specialist
• Job Reference: UOL08208