Full-Time, Fixed-term appointment for 18 months
Based in Liverpool with occasional international travel
The Liverpool School of Tropical Medicine (LSTM) is a world-leading centre for research and training in global health. The Vector Biology Department focuses on understanding the biology, ecology, and evolution of disease vectors to inform strategies for disease control.
We are seeking a Postdoctoral Research Associate (PDRA) to join the MalariaGEN Vector Team on the Vector Observatory project (https://www.malariagen.net/vobs/) Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three major hurdles in the use of genomic data in public health - access to big data sets, the technology to analyse these data, and the knowledge to interpret the results.
In this role, you will develop, optimise, and maintain cloud-native genomic surveillance tools, datasets, and training resources. You will apply these to study insecticide resistance and the population structure of malaria mosquito vectors, generating insights that directly support evidence-based malaria control strategies. This position offers a unique opportunity to work at the cutting edge of vector genomics, contributing to a global effort to improve malaria surveillance and control.
Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD in a range of fields including computer science, bioinformatics, statistics, or genomics. Previous experience working with insect vectors is not essential and we would encourage all researchers interested in harnessing the power of genomics, and big data to address important public health issues.
Key responsibilities will include:
Apply evolutionary genetic approaches to the study of disease vectors
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Design, develop, and implement genomic-based tools and methods to address fundamental evolutionary questions in Anopheles mosquitoes
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A key model for our work is on the evolution of insecticide resistance, but the PDRA would be encouraged to work on other related topics
Provide support and supervision to students and technical staff within the group
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Assist in the design and supervision of PhD student projects
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Support students and technicians working on similar topics, especially in the analysis of their data
Develop novel projects
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Generate ideas and data to support new project applications
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Contribute to the writing of research grants/fellowships in collaboration with PIs
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Disseminate findings through publications and conferences, as relevant to research
Ideally you will demonstrate:
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PhD in Computer Science, Bioinformatics, Statistics, or Genomics
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Experience or knowledge of next generation sequencing technologies, bioinformatics and statistical method development and/or epidemiology and large-scale data management
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Strong programming skills, ideally with experience in Python
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Well-developed research skills with the ability to present research findings in oral or written format
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Experience or knowledge of computational best practices
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Experience of training staff
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Evidence of preparing publications for specialist/ general science journals
(For a full list of essential and desirable criteria please refer to the job description and person specification)
Informal enquiries can be made to: [email protected]
Additional benefits of joining LSTM:
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Access to support for your career growth through a variety of internal and external learning and development opportunities
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Employee Assistance Platform offering a range of wellbeing initiatives and support, in addition to high-street discount offers
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30 days annual leave, plus 8 UK bank holidays, in addition to 6 Christmas closure days
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Generous occupational pension schemes including USS (Universities Superannuation Scheme) and NHS pension schemes (subject to eligibility)
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Government backed “cycle to work” scheme
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Affiliated, discounted staff membership to the University of Liverpool Sports Centre
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A range of enhanced family friendly policies
Application Process: To apply for this position please follow the apply link and upload your CV, complete our application form and attach a covering letter outlining your interest in the post, and how your skills and experience align.
Due to the volume of applications we receive, we may sometimes close our vacancies early. It is therefore advisable to apply as early as possible if you would like to be considered for a role.
Please click here to learn important information about applying for a position at LSTM.
