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.