Organisation/Company Universidad Nebrija Department Human Resources Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Aug 2026 - 00:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The Faculty of Medicine and Health Sciences at Universidad Antonio de Nebrija is seeking a highly motivated Postdoctoral Researcher in Bioinformatics, Big Data and Translational Medicine to join a multidisciplinary research team.
The successful candidate will work on translational research projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare.
Key responsibilities include analysis and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and collaboration in international multidisciplinary teams.
Where to apply
E-mail
Requirements
Research Field Biological sciences Education Level PhD or equivalent
Skills/Qualifications
* PhD in Bioinformatics, Computational Biology, Biomedicine, Mathematics, Physics, Engineering or related fields
* Proven experience in large-scale data analysis (big data) applied to medicine or biomedicine
* Experience in omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis
* Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy)
* Proficiency in programming and data analysis tools (Python, R, MATLAB, SQL or similar)
* Ability to work independently and within an international multidisciplinary team
* High level of English
Specific Requirements
* Experience in machine learning or artificial intelligence applied to biomedical data
* Experience in integrating clinical, molecular and imaging data for translational research
* Publications in high-impact international journals
* Experience in developing reproducible pipelines and data visualization
* Motivation to learn and apply innovative technologies and methodologies in healthcare
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