Liverpool
£39,906 to £46,049 per annum
2026-03-12
2026-04-07
Full-Time, Fixed-term appointment for 18 months
Based in Liverpool with occasional international travel
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
Design, develop, and implement genomic-based tools and methods to address fundamental evolutionary questions in Anopheles mosquitoes
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
Assist in the design and supervision of PhD student projects
Support students and technicians working on similar topics, especially in the analysis of their data
Develop novel projects
Generate ideas and data to support new project applications
Contribute to the writing of research grants/fellowships in collaboration with PIs
Disseminate findings through publications and conferences, as relevant to research
Ideally you will demonstrate:
PhD in Computer Science, Bioinformatics, Statistics, or Genomics
Experience or knowledge of next generation sequencing technologies, bioinformatics and statistical method development and/or epidemiology and large-scale data management
Strong programming skills, ideally with experience in Python
Well-developed research skills
Experience or knowledge of computational best practices
Experience of training staff
Evidence of preparing publications for specialist/ general science journals
Application Process: To apply for the position please follow the apply link and upload your CV and covering letter.
Due to the volume of applications, we receive, we may close our vacancies early.
Inclusion is central to our values at LSTM.
We seek to attract and recruit people who reflect the diversity across our communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. LSTM selects candidates based on skills, qualifications, and experience.
LSTM is committed to upholding freedom of speech and academic freedom within the law for all its members. Candidates will not be disadvantaged or adversely impacted for exercising their free speech within the law during our recruitment processes. For more information, see our Freedom of Speech Code of practice https://www.lstmed.ac.uk/about/policies-and-procedures/freedom-of-speech-code-of-practice.
LSTM actively promotes Equal Opportunities and Safeguarding Policies