30 July 2019

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For more information please contact Prof. dr. Thierry Voet, mail:

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You will be responsible for developing, implementing and running complex bioinformatics methods for multi-omics profiling of single cells.

A human body comprises 10 to 100 billion cells. As most of our organ functions are executed by the concerted action of those individual cells in a spatially organized context, it is paramount to research individual cells at scale and in their native spatial location. This is not only important to understand normal organ development and function, but also to investigate how (subpopulations of) cells are perturbed in diseased conditions like cancer or neurological disorders.

The team of Prof. Thierry Voet develops and uses cutting-edge molecular biology and computational methods to study single cells, to investigate human development and disease biology. We use automated, and microfluidics assays that process hundreds to thousands of cells in parallel, innovative computational approaches, and are a pioneer in multi-omics measurements from the same cell. You will play a key role in the establishment of innovative analytical pipelines for single-cell multi-omics, data analyses and interpretation, and publication of work.

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In this position, you will be responsible for developing, implementing and running complex bioinformatics methods for multi-omics profiling of single cells. Specifically, you will develop, implement and run analytical protocols for single-cell genome, epigenome and/or transcriptome sequence analyses. You will interpret the biological data. The post is framed within understanding the cell biology of normal development, aging and multiple disease processes.

  • Develop and establish complex bioinformatics analysis methods for single-cell multi-omics sequencing, including genomic, epigenomic (DNA methylation, open chromatin) and transcriptomic as well as integrative analyses of single cells at scale.
  • Lead in the experimental design, data analysis and interpretation of large-scale single-cell sequencing projects, and coordinate with core facilities and experimental biologists.
  • To be co-responsible for successful completion of the project(s), and play a key role in the publication of the results of these team-collaborative project(s).
  • To generate novel ideas and concepts for single-cell analytical method development and biological application, in particular in the context of sequence and spatial analyses of single cells.
  • Manage existing and develop new collaborations and relationships internal and external to KU Leuven.
  • Report and communicate on progress in meetings.
  • Provide technical advice and guidance to less experienced team members where applicable.
  • Be responsible for the delivery of project outcomes.

Establishing analytical workflows for single-cell (multi)omics measurements require a high degree of bioinformatics innovation, in-depth knowledge of and creativity with bioinformatic and statistical methods. Strong data interpretation and problem-solving skills. High accuracy in work, close coordination and effective communication with other team members and teams will be critical to meet the goals of keybiological projects.


Essential knowledge, skills and experience required:

MSc in Bioinformatics, Bioscience Engineering or other relevant degree with a Ph.D. in a relevant subject, e.g. Computational Biology, Functional Genomics, Genomics,Computer Science, Statistics, Maths

  • Motivation and ambition to make a personal contribution to single-cell omics research.
  • Extensive experience and in-depth knowledge of bioinformatics approaches for DNA and/or RNA next-generation sequence analyses.
  • Experience with large-scale computational analysis; running software on a compute farm, cluster, or cloud environment.
  • Working proficiency in UNIX/Linux and a scripting language (e.g. R, Python, Perl).
  • Experience in statistical analyses of data.
  • Experience with managing large volumes of data.
  • Knowledge of human genetics; genomics, epigenomics, transcriptomics and next-generation sequencing technologies.
  • Excellent critical and problem-solving skills.
  • Attention to detail and the ability to work to meet timelines.
  • Ability to quickly adapt to new problems and ideas.
  • High level communication skills that enable you to obtain complex requirements from, and convey complex information to, individuals with different levels of knowledge.
  • Ability to be inventive and to present novel ideas in method development, data analysis and interpretation.
  • Ability to work independently and within a group.
  • Proven independent working style.
  • Evidence for productivity in a research setting such as publications, patents, etc..

Additional desirable skills and experience:

  • Experience with single-cell multi-omics analytics and computational method development in the area.
  • A strong scientific publication record.
  • A position in a stimulating and diverse research group in a world-class academic & international environment.
  • Access to state-of-the-art infrastructure.
  • The University of Leuven is one of the most innovative universities in Europe. Leuven is located 20 min. from Brussels, in the center of Europe.
  • Start date: as soon as possible - the position is immediately available. We initially offer a postdoctoral position for minimum 3 years (renewable contracts).