Research Data Engineer (91325)

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., 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.

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., * 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)

• 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