PhD position bioinformatics in human genetics

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PhD position bioinformatics in human genetics

Join our Genetics group! Prof. Wouter de Laat's group (Genetics, UMCU) seeks a PhD student in Bioinformatics (BSc/MSc) with NGS and stats expertise. Team player, eager to innovate in genetic diagnostics to improve healthcare.

Deadline Published Vacancy ID 2025-5980

Academic fields

Health

Job types

PhD

Education level

University graduate

Weekly hours

32 hours per week

Salary indication

max. €3824 per month

Location

Heidelberglaan 100, 3584CX, Utrecht

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Job description

You will participate and be a key player in a multicenter prospective diagnostic accuracy study that aims to develop, validate and implement novel Non-Invasive Prenatal Diagnosis (NIPD) for monogenic diseases in the clinic. NIPD promises a prenatal diagnostic blood test that can be offered to pregnant couples opting for prenatal diagnosis because they know they are carrier of a severe monogenic disease. Such couples now rely for diagnosis on invasive surgery procedures: NIPD will be the much-desired non-invasive and less burdensome alternative. NIPD involves the analysis of the fetal fraction of cell-free DNA present in plasma of the pregnant mother: based on long-read sequencing-deduced haplotypes of the parents, we will analyze the cfDNA composition during pregnancy, to accurately determine which allele each parent transmitted to the offspring. PhD student will be co-responsible for the development of sophisticated analytical tools for long-read sequencing-based haplotyping and for cfDNA analysis, for the development of a robust statistical framework for NIPD, for the analysis and diagnosis of pregnancies included in this study and for NIPD implementation in the clinic. PhD student will work under shared supervision by a senior bioinformatician and by Prof. Wouter de Laat, and in close collaboration with our clinical bioinformatics team, the Genomics Diagnostics section and with other relevant UMCU research groups such as the AI research group headed by Prof. Dr. Jeroen de Ridder.

Requirements

We are looking for a PhD student with the following profile:
  • MSc in bioinformatics.
  • Advanced knowledge of Python, R and Bash, knowledge of Nextflow is a plus.
  • Experience in the fields of statistics, NGS data analysis, and preferably, genetics.
  • Experience with long read sequencing an/or cfDNA analysis is a plus.
  • Experience with human genetics and monogenic disorders is a plus.
  • Keen interest in translational research and societal impact.
  • Personality: curiosity driven, translational researcher, team player, broad interest, independent.
  • Proficient in English.

Conditions of employment

The maximum salary for this position (32 - 32 hours) is € 3.824,00 gross per month based on full-time employment.

In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

Department

You will join a growing team of enthusiastic translational researchers at the Genetics Research Section. This section has five principle investigators and is headed by Prof. Dr. Wouter de Laat. We are embedded within the Department of Genetics at the UMC Utrecht. Within our Department we collaborate with Clinical Geneticists constantly counseling new patients, Genome Diagnostics, who sequence thousands of patients per year based on the latest, most state-of-the-art, sequencing platforms (both short and long read), the Metabolic Diagnostics, who use untargeted metabolomics for their patients, and Clinical Bioinformatics, headed by Dr. Hanneke van Deutekom, for the most responsible and smooth processing of all diagnostics datasets using several bioinformatic workflows. It is our shared mission to improve clinical genetic care through implementation of technical developments and advancing genetic analysis.

Werken bij UMC Utrecht

Werken in het UMC Utrecht betekent werken op het snijvlak van onderzoek, onderwijs, zorg en techniek. In onze academische setting leren en innoveren we continu en zijn nieuwe ontwikkelingen altijd binnen handbereik.

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