PhD in Bioinformatics, Biostatistics & Artificial Intelligence

About us...

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 Role...

We seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurodegenerative diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical, imaging, or other large biological datasets), using statistical methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical outcomes of interest (e.g., disease progression scores). This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Classification models guided by prior mechanistic knowledge will be built, exploiting the known grouping structures among features in the omics data, using dedicated structured learning algorithms. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in neurological disorders.

What we expect from you…

• The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas
• Prior experience in large-scale data processing and statistics / machine learning is required
• Previous work and publications in bioinformatics or biostatistics analysis of large-scale biomedical data (e.g., omics, clinical, imaging, other biomedical data) should be outlined in the CV
• Demonstrated skills and knowledge in omics data analysis, machine learning, pathway and network analysis are highly advantageous
• The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
• Fluency in oral and written English

Here's what awaits you at the LCSB...

• Excellent work environment with state-of-the-art infrastructure, laboratory and administrative support
• Truly connected. We work together with hospitals and research institutes on a national and international level as well as industrial partners. Connection between science and society is very important to us. From our school lab - the Scienteens Lab - to the different outreach activities and collaborative partnerships with patient associations, we love to listen to society's needs and share our passion for science
• Be part of a multicultural team. At the LCSB we have more than 50 nationalities. Throughout the year, we organise team-building events, networking activities and more
• A fully funded position with a highly competitive salary
• An opportunity to join the Luxembourg Centre of Systems Biomedicine with an international and interdisciplinary ethos
• Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding
• Opportunity to work closely with international academic partners
• State-of-the-art research facilities and computational equipment

Find out more about us!

How to apply...

Applications should be submitted online and include:

• A detailed Curriculum vitae
• A motivation letter, including a brief description of past research experience and future interests, as well as the earliest possible starting date
• Copies of degree certificates and transcripts
• Name and contact details of at least two referees

We ensure a full consideration for applications received by 31/05/2024. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

For further information, please contact: Enrico Glaab