Liverpool School of Tropical Medicine
08/07/2026
Full time
Position not right for you? Share it with someone you know. Reference: JUL Expiry date: 22:59, Mon, 20th Jul 2026 Location: Liverpool Full-Time, Fixed-term appointment for 18 months Based in Liverpool with occasional international travel Overview 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 MalariaGEN Vector Team working on the Vector Observatory project, 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 maintaining cloud native genomic data resources, bioinformatics pipelines, and computational infrastructure. Key Responsibilities 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. Desired Qualifications Post graduate degree in Bioinformatics, Computer Science, Engineering, Genomics or related fields. 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). Benefits Access to support for your career growth through a variety of internal and external learning and development opportunities. Employee Assistance Platform offering a range of wellbeing initiatives and support, in addition to high street discount offers. 30 days annual leave, plus 8 UK bank holidays, in addition to 6 Christmas closure days. Generous occupational pension schemes including USS (Universities Superannuation Scheme) and NHS pension schemes (subject to eligibility). Government backed "cycle to work" scheme. Affiliated, discounted staff membership to the University of Liverpool Sports Centre. A range of enhanced family friendly policies.