The candidate will be affiliated at the Department of Ophthalmology and collaborate with the Department of Human Genetics. The candidate will be supervised by Dr. Zohreh Hosseinzadeh.

The Department of Ophthalmology of the Radboud University Medical Center is a global leader in the field of multifactorial and genetic retinal eye diseases. The research of the department is focused on retinal forms of blindness that affect large numbers of patients worldwide, especially inherited retinal degenerations (IRDs), such as retinitis pigmentosa, and age-related macular degeneration (AMD). Our aim is to develop personalized treatment and prevention options using metabolomics, natural history studies and genetic profiles combined with imaging parameters, and artificial intelligence.

The Department of Human Genetics is divided in multiple division all well known worldwide. The patient care (division clinical genetics) and genetic diagnostics (division genome diagnostics) performed within our department is hosted by an official and acclaimed Centre for Clinical Genetics. The division genome research performs groundbreaking research into the relationship between genes and diseases, as well as therapy development, notably concerning blindness and deafness, cancer, congenital anomalies, and mental handicaps. To identify and functionally characterize novel disease genes, we utilize a combination of biochemistry, genomics technologies, molecular biology, cell biology, and developmental systems such as iPSC model systems, Drosophila melanogaster, zebrafish and mouse.

Radboudumc is internationally renowned for its research and diagnostics on a variety of genetic disorders and the impact of personalized medicine. The Departments offer an exciting working environment with enthusiastic people from many parts of the world, providing ample critical mass and a stimulating, collaborative atmosphere for high quality research.

As a Computational Biologist, you will develop and apply advanced computational methods to analyze complex multi‑omics datasets and uncover new biological insights. You will integrate diverse omics layers with electrophysiology and other functional readouts to drive discovery across cellular, tissue, and organoid systems. Working in close collaboration with experimental biologists, you will contribute to study design, data interpretation, and the development of innovative analytical strategies.

In this role, you will prepare manuscripts, present research findings to internal and external audiences, and contribute to grant writing. Candidates with the ambition to apply for independent funding and ultimately build their own research group are strongly encouraged to apply.

Qualifications

• PhD in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related discipline.
• Strong programming skills in Python, R, or equivalent languages.
• Experience with high‑throughput sequencing data analysis and statistical modeling.
• Excellent communication skills and a collaborative mindset.
• Experience in multi‑omics integration, network analysis, or linking omics data to functional readouts (e.g., electrophysiology) is highly desirable.
• Experience with computational modeling and simulation of cell or organoid systems, especially integrating omics data with functional phenotypes.
• Experience applying machine learning to biological datasets is a strong plus.

• The first job interviews will take place on 16.06-07.07.2026. The second job interviews will take place on 08.07-15.07.2026. Please take this into account.
• This position requires a Certificate of Conduct (VOG).

We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network!