ppOrganisation/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 /ph3Offer Description /h3pThe 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. /ppThe 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. /ppKey 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.



/ph3Requirements /h3pResearch Field Biological sciences Education Level PhD or equivalent /ph3Skills/Qualifications /h3ulliPhD in Bioinformatics, Computational Biology, Biomedicine, Mathematics, Physics, Engineering or related fields /liliProven experience in large-scale data analysis (big data) applied to medicine or biomedicine /liliExperience in omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis /liliExperience in medical image processing and analysis (MRI, PET, digital histology, microscopy) /liliProficiency in programming and data analysis tools (Python, R, MATLAB, SQL or similar) /liliAbility to work independently and within an international multidisciplinary team /liliHigh level of English /li /ulh3Specific Requirements /h3ulliExperience in machine learning or artificial intelligence applied to biomedical data /liliExperience in integrating clinical, molecular and imaging data for translational research /liliPublications in high-impact international journals /liliExperience in developing reproducible pipelines and data visualization /liliMotivation to learn and apply innovative technologies and methodologies in healthcare /li /ul /p #J-18808-Ljbffr

📌 Postdoctoral Researcher in Bioinformatics, Big Data and Translational Medicine (España)
🏢 Universidad Nebrija
📍 España