Post-Doc in Computational Genomics and High-throughput Genome Editing VIB-KU Leuven Center for Microbiology

Epso; Vlaams-Brabant; À distance; EUR 55 000 - 70 000; Plein temps

Résumé du poste

Epso is seeking an enthusiastic and highly motivated Postdoctoral Researcher to join an interdisciplinary research team in Belgium. The role focuses on exploring how synonymous mutations shape gene expression and cellular phenotypes using large-scale mutagenesis libraries and reporters established in the lab.

You will work with experimental researchers to develop and apply computational approaches to identify patterns, build predictive models, and turn multidimensional datasets into biological

Qualifications

• Strong computational background and data-driven analytical skills.
• Ability to turn multidimensional biological datasets into insights.

Responsabilités

• Develop and apply computational approaches to identify patterns in large-scale mutagenesis data.
• Collaborate with experimental researchers to link genetic variation to phenotypes.
• Build predictive models linking synonymous mutations to cellular outcomes.

Connaissances

Computational background

Data analysis

Description du poste

About the role

We are seeking an enthusiastic and highly motivated Postdoctoral Researcher with a strong computational background to join our collaborative and interdisciplinary team. The successful candidate will join an exciting research project exploring how synonymous mutations, often assumed to be silent, shape gene expression and cellular phenotypes. Leveraging large-scale synonymous saturation mutagenesis libraries and a powerful suite of reporters already established in the lab, we systematically measure the impact of thousands of mutations across multiple molecular layers, from RNA and protein abundance and stability to protein function and cellular fitness. By integrating these complementary readouts, we aim to uncover the mechanisms through which synonymous sequence variation influences biological function. Your role will be to turn these rich, multidimensional datasets into biological insights. Working closely with experimental researchers, you will have the opportunity to develop and apply innovative computational approaches to identify patterns, uncover underlying mechanisms, and build predictive models linking genetic variation to molecular and cellular phenotypes. The project offers considerable freedom to explore new ideas and shape the computational direction of the research.