Bioinformatics/Data Scientist

Overview

Responsibilities

• The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
• The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
• A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
• The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.
• Required Qualifications
• Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
• Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
• Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.