PostDoc in Bioinformatics/Biostatistics and Biomedical Machine Learning

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine.

Your Role...

We seek a highly motivated bioinformatician or biostatistician who is well versed in the analysis of biological data and bioscientific programming for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of Parkinson’s disease datasets, focusing on omics, neuroimaging and clinical data. This will include implementing and applying software analysis pipelines and jointly interpreting of disease-related data together with experimental and clinical collaborators. The project will use multiple layers of new biological high-throughput data from different patient subgroups and healthy controls. 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 Parkinson’s disease.

What we expect from you…

• The candidate will have a PhD 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
• A track record of previous publications in bioinformatics analysis of large-scale biological data (e.g. omics, clinical, structural bioinformatics, neuroimaging 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...

• 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

In Short...

• Contract Type: Fixed Term Contract 24 Month (extension possible)
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Job Reference: UOL05365

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply...

Applications should contain the following documents (combined into one pdf document):

• 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

Early application is highly encouraged, as the applications will be processed upon reception. 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.

In return you will get…

• 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 …
• Find out more about the University
• Addresses, maps & routes to the various sites of the University

Further information...

For further information, please contact:

Enrico Glaab (enrico.glaab@uni.lu)