The Senior Computational Scientist, Research Software & Data Platforms, builds and runs the software that the Initiative for Generative Immunotherapy at the Lineberger Comprehensive Cancer Center uses to track, process, and share its research data. The position has three main areas of work: automating data handling around the Initiative's sequencing analyses, building an internal system for tracking samples and data, and developing a public web portal where researchers can browse and download the Initiative's data.
Data handling covers intake of new data from sequencing cores and collaborators, file and metadata checks, storage and transfer, hand-off of whole-genome (WGS), whole-exome (WES), bulk RNA-seq, and single-cell data to the analysis pipelines, and cataloging and release of pipeline outputs. The pipelines themselves are written and run by the Initiative's bioinformatics staff and are outside the scope of this position.
The public portal will let users search and filter datasets and sample metadata, view summary plots, and download data in standard formats, one file at a time or in bulk. The internal sample and data management system will link each biospecimen to its clinical annotations, sequencing runs, files, and analysis results, so that any sample can be traced from collection to public release.
The position works with bioinformaticians, laboratory staff, and physicians to define requirements, makes sure data sharing follows consent, privacy, and funder rules, and writes the technical sections of grant proposals and papers that describe the Initiative's data resources.