For more information please contact Prof. dr. Thierry Voet, mail: firstname.lastname@example.org or dr. Gregory Maes, mail: email@example.com.You can apply for this job no later than March 01, 2021 via the online application tool
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A postdoctoral position is available for a computational biologist at the Center of Human Genetics, KU Leuven in the laboratory of Prof. Thierry Voet. In this position you will be responsible for the development and implementation of data analysis strategies for single-cell multi-omics data integration. You will then also be able to apply these strategies to develop understanding of human ageing and disease. By integrating genomic, transcriptomic and epigenomic highly-dimensional data of individual cells using state-of-the-art statistical models and machine learning strategies we aim to answer key fundamental biological questions with potentially high impact in their respective fields.
The team of Prof. Thierry Voet is a highly multidisciplinary team developing and using cutting-edge molecular biology and computational methods to study single cells, to investigate human development, ageing and disease biology. We use robotic 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 analysis and interpretation. The team also contributes to leading large-scale international communities such as the Human Cell Atlas, the Gut Cell Atlas and the LifeTime initiative.
Most challenging aspects of the role:
Establishing analytical workflows for single-cell (multi)omics measurements requires a high degree of innovative reasoning, in-depth knowledge of and creativity with computational and statistical methods. Strong data interpretation and problem-solving skills. Given that the field is rapidly advancing, being motivated to learn and keep track of state-of-the-art analysis methods will be required. High accuracy in work, close coordination and effective communication with other team members and teams will be critical to meet the goals of key biological projects.
Additional desirable skills and experience