Postdoctoral Fellow in Computational Biology/Statistical Bioinformatics

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.

The Luxembourg Centre for Systems Biomedicine (LCSB) was created within the Health Technologies Initiative from the Government of Luxembourg as one of the research priorities of the University of Luxembourg. The LCSB is an Interdisciplinary Centre of the University independent of the faculties. It combines experimental and computational approaches to analyze complex biological systems and disease processes from a systems biology perspective. The Computational Biology Group (CBG) provides the LCSB with a solid infrastructure in developing theoretical methods for computational modeling of biomedical problems. The CBG includes researchers with theoretical, computational and wet lab backgrounds, thereby providing a unique interdisciplinary environment.

The CBG seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational pipeline for classification and analysis of patients with the systemic inflammatory response syndrome (SIRS). SIRS is a life-threatening condition characterized by a mortality of 7-25% depending on timely recognition of the underlying disease and triggers. The heterogeneity of SIRS symptoms, however, challenges initial therapeutic decisions.

The successful postdoctoral candidate will develop computational and statistical models using multi-omics data (including transcriptomics, proteomics, lipidomics, and immunomics data) generated from patients to identify novel diagnostic patterns/biomarkers that match clinical findings. The modeling methodologies include, but not limited to, statistical modeling and machine learning, network biology, bioinformatics and information theory, The project is funded by ERA PerMed and includes a consortium of international collaborators, including medical practitioners with existing record of achievements in treatment of SIRS.

In addition, the successful candidate will curate the group’s contribution to the consortium and provide it with statistical and computational support, which requires ability to work with various professional backgrounds (biologists, doctors and others).

Essential skills and qualities:

• Ph.D. degree in computer science, engineering, physics, biology or related discipline
• Strong computational skills
• A strong publication record in related fields
• Excellent communication skills and working knowledge of English

Ideal skills:

• Prior experience in computational systems biology and/or statistical learning
• Experience in working in multi-disciplinary research settings

We offer...

• Opportunity to do highly interdisciplinary research and solve complex biomedical problems within a highly dynamic research institution (LCSB) and in collaboration with internationally recognized partners
• An international and multi-lingual environment
• A very competitive salary and a range of social benefits

• Contract Type: Fixed Term Contract (duration to be discussed)
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Job Reference: UOL05010

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77.167,08 (full time)

Applications should be submitted online and include:

• Curriculum Vitae
• Cover letter

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.

• 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 …

For further information, please contact:

Prof. Dr. Antonio del Sol / E-mail: [email protected]