Reference: MAR20266055
Expiry date: 17:59, Tue, 7th Apr 2026
Location: Liverpool
Salary: £33,951.00 - £38,784.00 Per Annum
Benefits: 30 days annual leave, plus bank holidays, plus Christmas closure days
Duration: Fixed-term appointment for 18 months
Full-Time, Fixed-term appointment for 18 months
Based in Liverpool with occasional international travel
The Liverpool School of Tropical Medicine(LSTM) is recruiting a Research Data Engineer to support the curation of cloud-based genomic data and maintenance of computational resources for malaria vector research, surveillance, and control.
The successful candidate will join the MalariaGENVector Team working on the Vector Observatoryproject, which aims to improve access to large genomic datasets, develop technologies for their analysis, and support interpretation for public health applications. The role involves developing and maintainingcloud-native genomic data resources, bioinformatics pipelines, and computational infrastructure.
Given the multidisciplinary nature of the project we welcome applications from candidates who hold a post-graduate degree in a range of fields including Bioinformatics, Computer Science, Engineering and Genomics. Previous experience working with disease vector data is not essential and we encourage all applicants interested in large-scale data management, computational design and resource management, and genomics data to address important public health issues.
Key responsibilities will include:
Curate and optimise cloud-native genomic data resources
Curate large-scale genomic data resources related to malaria vectors.
Maintain quality through data and code management best practices.
Support the implementation of data standards, including access, sharing and governance compliance.
Build and maintain tools, resources and bioinformatic pipelines
Build, test and implement scalable genomic-based computational workflows and tools.
Contribute to the deployment and improvement of containerised code and computational environments to ensure analysis reproducibility.
Maintain computational resources to enable data processing.
Provide domain-specific technical support internally and externally
Write and improve internal technical documentation and user-focused resources to support best practices.
Support students and researchers working on similar topics, particularly in troubleshooting code, resolving bugs and issues to facilitate data use.
Contribute to workshops, hackathons and training to support partners and collaborators.
Generate ideas, data and code to support project technical improvements.
Ideally you will demonstrate:
Post-graduate degree in Bioinformatics, Computer Science, Engineering, Genomics; or fields alike
Experience of large-scale data management, including strong programming skills, ideally in Python
Experience with cloud computing environments or distributed computing platforms
Experience managing container-native workflows
Experience or knowledge of next generation sequencing technologies and bioinformatics (desirable)
Experience deploying data products on-premises, cloud, and/or hybrid setups (desirable)
(For a full list of essential and desirable criteria please refer to the job description and person specification)
Informal enquiries can be made to: Anastasia.Hernandez-Koutoucheva@lstmed.ac.uk
Additional benefits of joining LSTM:
30 days annual leave, plus bank holidays, plus Christmas closure days
Generous occupational pension schemes
Government backed “cycle to work” scheme.
Affiliated, discounted staff membership to the University of Liverpool Sports Centre
A range of additional family friendly policies
Application Process:
Due to the volume of applications, we receive, we may close our vacancies early. It is therefore advisable to apply as early as possible if you would like to be considered for a role.
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.
We welcome conversations about flexible working; and applications from those returning to employment after a break from their careers.
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.
About LSTM
Founded in 1898 and the oldest of its kind in the world, the Liverpool School of Tropical Medicine (LSTM) is an internationally recognised centre of excellence for teaching and research in tropical diseases. Through the creation of effective links with governments, NGOs, private organisations and global institutions and by responding to the health needs of communities, LSTM aims to promote improved health, particularly for people of the less developed/resource poorest countries in the tropics and sub-tropics.
LSTM actively promotes Equal Opportunities and Safeguarding Policies