Lead Genomic Epidemiologist

We are seeking a highly motivated Lead Genomic Epidemiologist to join The
Centre for Genomic Pathogen Surveillance (CGPS) in the Nuffield Department of
Medicine. You will play a pivotal role driving the utility of genomic and
digital epidemiology within Low and Middle Incomes countries as part of the
NIHR Global Health Research Unit on Genomics and enabling data for the
Surveillance of Antimicrobial Resistance.





The use of genomics and the routine linkage to epidemiological and other
enabling data is driving enhanced infection control at a very local (within
hospital), national and ultimately international level.





Previously we have developed and implemented technical support for WGS for
national control programmes in equitable partnerships in The Philippines,
Nigeria, India and Colombia (see
https://academic.oup.com/cid/issue/73/Supplement_4 ). Our major focal shift is
on the enhancement of genomic interpretation for reporting to decision making
stakeholders from local sentinel hospitals upwards to governments and the WHO.





We are looking for a creative and highly motivated individual to help develop
and drive these aims.





You will bring scientific expertise, a strong background in the informed
utility of genomics to aid infection control, a deep understanding and
appreciation for the challenges of translating scientific insight into public
health information and a drive to deliver distilled and rapid insight gleaned
from increasingly large datasets for major bacterial pathogens for decision
making.





You will have the opportunity to drive the delivery of digital epidemiology
(data tools and decision-making process) and will undertake analysis of data,
strategy implementation as well as relationship building and engagement with
partners. Additionally, we host the WHO Collaborating Centre on Genomic
Surveillance of AMR and the postholder will have opportunities to engage and
influence within this role.





You should hold a PhD/DPhil in a relevant subject such as biological sciences,
bioinformatics, data /computer science , with post-qualification experience in
high-throughput data analysis, integration and interpretation in pathogen
genomics and antimicrobial resistance across a broad range of WHO priority
pathogens. You should have the ability to work closely with others while
taking personal responsibility for assigned tasks as well as excellent
interpersonal skills, communication skills, and the ability to self-guide and
work collaboratively with team members.





Applications for this vacancy are to be made online and you will be required
to upload a supporting statement and CV as part of your online application.
Your supporting statement must explain how you meet each of the selection
criteria for the post using examples of your skills and experience.





For informal enquiries please contact Professor David Aanensen
(David.aanensen@bdi.ox.ac.uk)





This position is offered full time on a fixed term contract until 31 May 2027
and is funded by the NIHR.



Only applications received before 12 midday on 12 June 2024 will be
considered. Please quote **172975 **on all correspondence.