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.

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.

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

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 

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