The core of the position is bioinformatics and computational analysis across the laboratorys research projects, primarily conducted within a high-performance computing (HPC) environment, with two main areas of focus: 1) analysis and interpretation of next-generation sequencing and large-scale genomic datasets, together with the development, execution, and maintenance of robust, reproducible analytical pipelines and workflows for these data types, including but not limited to whole-genome sequencing, whole-exome sequencing, RNA sequencing, and single-molecule/duplex DNA sequencing; and 2) development and implementation of creative computational approaches for specialized analyses across diverse datasets generated by cutting-edge experimental platforms and multimodal studies. This includes managing appropriate computational resources and technologies such as internal servers and SLURM-based compute clusters, MariaDB, Docker/Singularity, Git/GitHub, Google Cloud, and Google Drive, and coordinating access, approvals, and ongoing management of controlled-access datasets as required.