Research Scientist in Theoretical Biology

We have an exciting opportunity for a Research Scientist assistant to join Dr. Verena Körber’s research group, focusing on somatic evolution in human somatic tissues.

 

The postholder will focus the quantification of clonal dynamics in human stem and progenitor cell populations through the development of advanced mathematical models. They will independently design, develop, and parameterise these models using Next Generation Sequencing (NGS) data, applying state-of-the-art parameter inference techniques. The role will also involve creating robust, efficient, and reproducible computational code capable of running at scale within high-performance computing (HPC) environments. In parallel, the postholder will undertake the bioinformatic analysis of NGS datasets, generating the data and insights required to inform and refine the mathematical models.

 

Applicants will hold a Master’s degree in Mathematics or Physics. Experience with mathematical models of Clonal dynamics in somatic tissues and their application to Next Generation Sequencing data will be essential.  Specialist knowledge in nonlinear dynamics and chaos as well as in statistical data analysis using real-world is also essential. Research experience in theoretical and quantitative biology and proficiency in the use of statistical programming languages (R or Python), Bash computing and work with high-performance clusters. Experience with Next Generation Sequencing data would be desirable.

 

The post is available fixed-term for 12 months.

 

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

 

The closing date for this position is 12 noon on Friday 25 September 2026.

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