[Postdoc] Postdoctoral researcher on machine learning of gene isoform variants in immune cells
About the project
Gene splicing can generate multiple transcripts (isoforms) from a single gene, potentially influencing disease mechanisms. However, for many genes, the full repertoire of isoforms is still unknown and therefore knowledge on the impact of isoforms for rare diseases in clinical settings is limited. With the development of long-read sequencing technologies, reliable identification and quantification of these transcripts is now possible. We are seeking a motivated postdoctoral researcher to investigate and predict the relationship between gene isoforms and (rare) disease.
Job description
You will study the impact of (rare) genetic variants on isoform expression using long-read single-cell expression data from immune cells (blood and gut). Your main tasks will include:
• Developing methodology to improve isoform quantification from short-read data, leveraging long-read data as a reference.
• Designing and implementing AI-driven models to predict the effects of genetic variation on isoform expression from genome sequences.
• Prioritizing isoforms for disease-relevant phenotypes using inferred functional data.
• Extending existing tools to move from gene to isoform function prediction.
The methods you develop will help increase the diagnostic yield for rare disease patients. Applications will include analysis of large-scale whole genome sequencing datasets from UMCG patients and international consortia (e.g., SolveRD, Genomics-England, GREGoR). You will disseminate findings through high-impact publications and presentations at international conferences.
This position is part of the single-cell eQTLGen consortium, led by the Functional Genomics group at UMCG’s Department of Genetics. You will have access to unique datasets and benefit from collaboration within an international network.
Working environment
You will be based in the Department of Genetics at the University Medical Center Groningen (UMCG) and the Faculty of Medical Sciences at the University of Groningen. The University of Groningen is a globally oriented research university ranked among the world’s top 100. The Faculty of Medical Sciences is the second oldest medical faculty in the Netherlands.
Our Functional Genomics group, supervised by Prof. Dr. Lude Franke, is part of the Genetics department and includes ~15 researchers focused on understanding disease through genetic and genomic data. The broader department consists of approximately 400 staff involved in research, diagnostics, and patient care. We value open science and active participation in major international consortia such as eQTLGen and sc-eQTLGen.
Job requirements:
You have:
A PhD (or are close to graduating) in machine learning, bioinformatics, statistical genetics, molecular biology, or a related field
Proficiency in English and good team and organizational skills
Strong programming and data analysis skills (e.g., Python, R, Java, Bash)
Experience with AI or sequence-based models (preferred)
Experience with long-read sequencing data (preferred)
Affinity with statistics or willingness to learn
Additional requirements
UMCG maintains a preventive Hepatitis B policy and can provide vaccination if required. For certain roles, a Certificate of Good Conduct (‘Verklaring Omtrent Gedrag’) is required.
What do we offer
A 3-year contract (36 hours per week).
A starting salary depending on qualifications and experience, scale 10 (max. €5.669 gross salary based on a full-time position).
8% holiday allowance, 8.3% year-end bonus.
Employment conditions in accordance with the Collective Labor Agreement for University Medical Centers (CAO UMC)
Access to world-class genomic datasets and high-performance computing infrastructure
Supervision by an experienced, internationally recognized research team
Extensive opportunities for training, attending conferences, and international collaborations
A stimulating, collegial and inclusive research environment
Excellent career prospects: our PhD graduates often continue in academia, industry, or data-driven research roles
Intended starting date: April 1st 2026 or upon agreement.
For questions about the position
Do you have questions about this position or are you unsure if your profile matches? Please contact Dr. Marc Jan Bonder (m.j.bonder@umcg.nl). We look forward to your application!
