PhD in Liquid Biomarkers for Leukodystrophies (POLARIS)

SIGRA; Amsterdam; On-site; EUR 42,000 - 52,000; Full time

Job summary

POLARIS is offering a PhD position hosted at the University Hospital Tübingen, Germany, within an international, interdisciplinary network. You will develop and validate liquid biomarkers for leukodystrophies by integrating multi-omics data from patient samples and iPSC-derived models, while exploring disease signatures with metabolomics, lipidomics, proteomics and genomics.

You will work with iPSC-derived models and computational data integration, aligned with secondments at Orchard

Qualifications

• Master's degree in life sciences, biomedical sciences, bioinformatics, computational biology or a related field.
• Solid understanding of molecular genetics, glial and myelin biology and rare neurological diseases.
• Experience with either iPSC culture and differentiation or programming (Python and/or R), applied statistics and/or machine learning on omics data.

Responsibilities

• Develop and validate liquid biomarkers for leukodystrophies by integrating multi-omics data from patient plasma and iPSC-derived disease models.
• Investigate disease-related molecular signatures using metabolomics, lipidomics, proteomics and genomics.
• Focus on establishing and characterising iPSC-based models or on computational integration of multi-omics data.
• Collaborate with POLARIS partners across Europe and engage in planned secondments.

Skills

Python

R

Statistics

Machine learning

Data analysis

Interdisciplinary collaboration

Education

Master's degree in life sciences, biomedical sciences, bioinformatics, computational biology or a related field

Tools

iPSC culture

Job description

POLARIS is offering a PhD position hosted at the University Hospital Tübingen, Germany, within an international, interdisciplinary network. You will develop and validate liquid biomarkers for leukodystrophies by integrating multi-omics data from patient samples and iPSC-derived models, while exploring disease signatures with metabolomics, lipidomics, proteomics and genomics.

You will work with iPSC-derived models and computational data integration, aligned with secondments at Orchard