For more information please contact Prof. dr. Thierry Voet, mail: email@example.com
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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.
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.
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
Additional desirable skills and experience: