Principal Scientist
CurrentEstablished in-house Next-Generation Sequencing (NGS) facility employing the latest technologies to provide high quality transcriptomic data for AI enabled drug discovery programs, replacing an initial outsourcing strategy.• Achieved buy in from various stakeholder groups including senior leadership, project leaders and finance to gain support for the proposal to bring RNA-seq in-house.• Implemented a plan to evaluate equipment, negotiate prices and prepare site for instrument installations (including the Illumina NextSeq 1000 sequencer).• Co-ordinated input from a multi-disciplinary group, including legal, IT security, data management specialists, bioinformaticians and lab scientists to achieve objectives within timelines.• Developed and validated RNA-seq protocols followed by scale-up and automation (Hamilton NGS Star).• Worked cross-functionally as a product owner for end-to-end RNA-seq sample and data management workflow, including generation of a bespoke electronic lab notebook (ELN) to capture omics sample metadata. • Played a key role in defining and testing the minimal viable product, identifying bottlenecks and communicating feedback from the lab scientists to the developers.• Led the resourcing of workflow requests across the company to deliver key project data.• Performed data QC and differential gene analysis.• Communicated results to colleagues across the company in both written and presentation formats.• Organised RNA-seq sample outsourcing as needed.