Project Assistant in Computational Sequence Analysis

Job description

You will develop and maintain Python and R-based pipelines for the analysis of large-scale single-cell RNA sequencing data, with a focus on disease-relevant variation across cell populations and tissue regions. Concretely, this involves implementing and extending workflows built around tools such as Scanpy and CellRank, applying unsupervised methods to identify cellular trajectories and disease progression patterns, and ensuring that analyses are reproducible and well-documented. You will also take responsibility for data validation, transformation, and quality control steps upstream of analysis, drawing on software engineering practices to keep codebases maintainable as projects grow. The work is carried out in close collaboration with researchers in the group and contributes directly to ongoing projects in computational medicine.

Who we are looking for 

We are looking for someone who: