Auf einen Blick
- Aufgaben: Join us to analyze large-scale biomedical data and improve understanding of neurological disorders.
- Arbeitgeber: The University of Luxembourg is a vibrant, multilingual research hub focused on Systems Biology and Biomedicine.
- Mitarbeitervorteile: Enjoy a modern work environment, competitive salary, and collaboration with top-tier international researchers.
- Warum dieser Job: Make a real impact in healthcare while working in an interdisciplinary team that values innovation and collaboration.
- Gewünschte Qualifikationen: PhD in bioinformatics or related field; experience in data analysis and machine learning is essential.
- Andere Informationen: Applications are processed upon reception, so apply early to secure your chance!
Das voraussichtliche Gehalt liegt zwischen 83099 - 83099 € pro Jahr.
Job Description
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.
Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data.
This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, exploiting the known grouping structures among features in the omics data, using dedicated approaches for structured data analysis. 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.
For further information, please contact: Enrico Glaab – Your profile The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required A track record of previous publications in bioinformatics analysis of large-scale biomedical data (e.g., omics, clinical, structural bioinformatics data) should be outlined in the CV Demonstrated skills and knowledge in next-generation sequencing data analysis, biostatistics, 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 We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries.
Member of the "University of the Greater Region" (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market.
A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Copies of degree certificates and transcripts Name and contact details of at least two referees 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 12 Month Work Hours: Full Time 40.0 Hours per Week Location: Campus Belval Internal Title: Postdoctoral researcher Job Reference: UOL06821 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time).
PostDoc in Bioinformatics and Computational Biology Arbeitgeber: Université du Luxembourg

Kontaktperson:
Université du Luxembourg HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PostDoc in Bioinformatics and Computational Biology
✨Tip Number 1
Make sure to highlight your experience with large-scale biomedical data analysis in your discussions. Be prepared to discuss specific projects where you applied statistical methods or machine learning techniques, especially in the context of neurological disorders.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in bioinformatics and computational biology. Being able to discuss recent advancements or tools relevant to omics data analysis can set you apart during interviews.
✨Tip Number 3
Network with current researchers at the LCSB or similar institutions. Engaging with professionals in the field can provide insights into the work culture and ongoing projects, which can be beneficial during your application process.
✨Tip Number 4
Demonstrate your collaborative skills by preparing examples of past interdisciplinary projects. The LCSB values teamwork, so showcasing your ability to work with biologists, clinicians, and other scientists will strengthen your candidacy.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PostDoc in Bioinformatics and Computational Biology
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the PostDoc position. Understand the specific skills and experiences required, especially in bioinformatics, machine learning, and large-scale data analysis.
Tailor Your CV: Highlight your relevant experience in bioinformatics and computational biology. Include any publications related to large-scale biomedical data analysis and ensure your CV reflects your skills in statistical methods and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and interests with the research focus of the LCSB. Emphasize your motivation for interdisciplinary collaboration and your passion for studying neurological disorders.
Prepare Supporting Documents: Gather copies of your degree certificates and transcripts, and ensure you have the contact details of at least two referees ready. Make sure all documents are up-to-date and professionally presented.
Wie du dich auf ein Vorstellungsgespräch bei Université du Luxembourg vorbereitest
✨Showcase Your Interdisciplinary Skills
Since the LCSB values interdisciplinary collaboration, be prepared to discuss how your background in bioinformatics or computational biology intersects with other fields. Highlight any experiences where you've worked with biologists, clinicians, or data scientists.
✨Demonstrate Your Data Analysis Expertise
Be ready to talk about your experience with large-scale biomedical data analysis. Discuss specific projects where you applied statistical methods, machine learning, or pathway/network analysis, and be prepared to explain your approach and the outcomes.
✨Prepare for Technical Questions
Expect technical questions related to next-generation sequencing data analysis and biostatistics. Brush up on relevant methodologies and be ready to discuss how you've implemented them in past projects.
✨Express Your Collaborative Spirit
The role emphasizes collaboration with experimental and clinical teams. Share examples of how you've successfully worked in a team setting, highlighting your organizational and interpersonal skills, as well as your enthusiasm for collaborative research.