Postdoctoral Researcher in Computational Biology

Your role

The selected candidate will be part of an European consortium of clinicians, biologists and computational scientists that aims to personalize high-dose glucocorticoid therapy in children with acute immune-mediated diseases by comparing treatment regimens and identifying multi-omics biomarkers that predict individual treatment response and toxicity.

Through integrating clinical data, patient-reported outcomes, and multi-OMICS profiles, the project will generate predictive models to guide safer and more effective, individualized steroid use. As such, the candidate will be responsible for data harmonization, multi-omics integration as well as the development of machine-learning models for patient stratification and outcome prediction.

Moreover, complex multi-layered datasets shall be integrated into clinically actionable biomarkers and decision-support tools that underpin the project’s personalized treatment algorithms.

For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu .

Your profile

• Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines
• Strong computational skills, including machine learning, e.g. demonstrable project in a relevant field
• A strong first-author publication record in a relevant field
• Fluency in English

Preferred skills:

• A record of first-author publications in the fields of bioinformatics and/or computational biology
• Prior experience with the development of machine learning approaches in biological systems

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 detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objectives
• Transcript of all modules and results from university-level courses taken
• List of publications

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 18 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval Campus
• Internal Title: Postdoctoral researcher
• Job Reference: UOL07969

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).

About us

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 candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological information to study biological processes at different levels of organization. For more information, please visit the group’s website.