Main area Genomics Grade NHS AfC: Band 8c
Contract Fixed term: 15 months (Funded by Genomics Unit Network of Excellence which is funded until 31/3/2026.)
Hours Full time - 37.5 hours per week
Job ref 321-CSS-6705027-B8c
Employer Oxford University Hospitals NHS Foundation Trust
Employer type NHS
Site Churchill Hospital
Town Oxford
Salary £74,290 - £85,601 per annum
Salary period Yearly
Closing 04/12/2024 23:59
Interview date 10/12/2024
Lead Genomic Data Scientist NHS AfC: Band 8c Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research.
Job overview The Lead Genomics Data Scientist is an exciting new role designed to lead the development and implementation of a robust computational biology / bioinformatics strategy to meet the needs of Work-packages (WP) 1 & 2 (rapid Whole Genome Sequencing (WGS) and other omics & Myeloma multi-target next generation sequencing (NGS) panel) of the NHS Haemato-oncology Genomic Network of Excellence (NoE). Duties of this post will encompass bioinformatic, analytical and administrative activities in addition to national educational and engagement roles. Main duties of the job Design, develop, implement and take through ISO15189 accreditation: an appropriate bioinformatics pipeline for the analysis of all variant types for a tumour-only Next Generation Sequencing panel for plasma cell dyscrasias. appropriate bioinformatic pipeline(s) for the analysis of all variant types from tumour-only and tumour: matched germline Whole Genome Sequencing for a range of different haematological malignancies. Work with other Genomic Laboratory Hubs (GLHs) on the national implementation of the tumour-only Next Generation Sequencing panel for plasma cell dyscrasias, by designing and implementing appropriate engagement and education programmes around the bioinformatics and interpretation and analysis components of the panel. Work with other stakeholders nationally including Genomics England and NHS England's Genomics Unit in the design, development and implementation of a strategy and mechanism for local WGS with central bioinformatics pipeline provision and local clinical interpretation and reporting. Design, develop and implement the necessary analysis tools for other 'omics' which may include but not be limited to short read RNA sequencing / whole transcriptome sequencing, long read WGS and hybrid long read WGS and targeted sequencing assays. Person specification Qualifications & Training PhD level education which includes a substantial component of genomic analysis Professional registration with HCPC Experience Significant experience of developing and implementing pipelines in clinical, academic or industry settings to analyse genomic data for both targeted assays and Whole Genome Sequencing in haematological malignancies. Experience of working in genomics analysis at the research / clinical interface. Skills & Knowledge Excellent skills in coding / programming, mathematical modelling, database construction and how to apply these skills to clinical genomics. In depth knowledge of the biology of plasma cell dyscrasias. Abilities Ability to communicate complex bioinformatic, scientific and confidential information and make the case for change to specialist and non-specialist audiences who may be resistant to new approaches. Ability to manage conflict #J-18808-Ljbffr