Bioinformatics / Omics Data Expert

#LI-HybridLocation: Cambridge, MAJob Description SummaryThe Oncology Data Science (OncDS) team in Biomedical Research provides computational biology, AI, and data expertise and brings together projects spanning the entire pre-clinical to clinical development pipeline across a wide and unique range of novel therapeutics. OncDS specializes in using high-throughput genomic and biomarker data for target identification, drug discovery, and clinical development.We are seeking a motivated and curious Scientific Data Engineer at the beginning of their professional data journey to support the development, maintenance, and modernization of FAIR oncology reference datasets. This role combines hands-on data curation with workflow automation, AI-enabled process improvement, dataset refresh and quality control, and fit-for-purpose data engineering to help ensure that key oncology data assets are reliable, reproducible, and ready for downstream scientific use.This position will work closely with senior team members and cross-functional collaborators to modernize data curation processes, identify opportunities for AI-enabled automation, and contribute to high-value reference datasets that support Oncology-wide data strategy and FAIR data goals. The role is designed to build practical experience in scalable data practices, operational excellence, and automation-driven continuous improvement.Why join us: This is an opportunity to work at the intersection of data engineering, computational biology, and oncology research, contributing to data assets that enable important scientific decisions across the drug discovery pipeline. You will join a collaborative team that values curiosity, learning, and continuous improvement, and you will have the chance to grow your technical and scientific skills while helping build reliable, scalable data foundations for cutting-edge oncology research.