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Lecturer in Genomic Informatics

Southampton, United Kingdom
£38,205 to £56,021
Closing date
12 Jan 2024

Human Genetics & Genomic Medicine

Location:  Southampton General Hospital
Salary:   £38,205 to £56,021
Full Time Permanent
Closing Date:  Friday 12 January 2024
Interview Date:   To be confirmed
Reference:  2547323AF

The post

This post will be in the Human Genetic and Genomic Medicine (HGGM) Group, within the School of Human Development and Health, University’s Faculty of Medicine. We are seeking to appoint a lecturer in Genomic Informatics. The successful applicant will have strong research, educational, and organisational skills.

The place

There is a concerted strategy to harness genomic data to improve the health of the UK population using large scale molecular sequencing and ‘Omics data integrated with longitudinal clinical phenotyping data. The University of Southampton (UoS) boasts a nationally leading high performance computing cluster- IRIDIS. We have a close strategic relationship with University Hospital Southampton NHS Foundation Trust and joint initiatives under the NIHR Biomedical Research Centre and Wessex Secure Data Environment. The University is nationally leading in artificial intelligence techniques applied to genomic data. 

The candidate

The appointee will be expected to develop and implement an innovative research programme aligned to the School and wider University data-driven research strategy. We are looking for ambitious academics who will complement and synergise local research in large-scale ‘omics data science, bioinformatics, and data-driven approaches to improve diagnostics, prediction and clinical translational research. Individuals with a strong cross-disciplinary ethos, accustomed to working with colleagues across the fields of medicine and computer science are welcomed. 

The appointee will be expected to make a significant contribution to leadership, management and delivery of education at both UG (BM) and PG (PGT/PhD) levels including developing the Faculty’s teaching portfolio.

The successful candidate will be supported by internationally recognised research leaders in genomic data science. The appointee will be expected to create and manage an independent, internationally recognised research programme and to obtain a portfolio of grant support to develop and sustain it. The appointee will be expected to integrate and/or complement the academic priorities of the Human Genetic and Genomic Medicine (HGGM) group and to facilitate collaborative links within the School, Faculty and University.

For more information, please contact Professor Sarah Ennis, Human Genetics & Genomic Medicine, Faculty of Medicine:

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