Data Engineer

We are recruiting for a Data Engineer to join to our multi-skilled Research Informatics team at the Centre for Medicines Discovery (CMD) here at the Nuffield Department of Medicine. The team are responsible for a wide range of data management and analysis platforms in the biomedical space, working with researchers locally and in national and international consortia.

Reporting to the Research Informatics SRF Coordinator, you will be embedded within the Research Informatics team and work directly together with our scientists and researchers within the CMD, across Oxford and with collaborators and partners internationally. You will also work closely with the NDM Biomedical Data Platform team who provide novel data integration and visualisation solutions for multi-modal, multi-‘omic data.

You will be responsible for implementing end-to-end data engineering solutions, ensuring that datasets and their metadata are captured in an unambiguous manner to support research hypothesis generation. You will be tasked with designing and developing novel methodologies, providing performant, robust and scalable data products and services. You will act as a source of information and advice to other members of the CMD on data capturing and solutions for data analysis. You will also be responsible for ensuring that datasets are appropriately annotated and made available in a manner which is FAIR compliant (Findable, Accessible, Interoperable, Reusable) wherever possible.

It is essential that you hold a Master’s degree in Bioinformatics, Biochemistry, Computer Science, or a related subject. You will have proficiency in coding in either Python or R and other scripting languages. You will have experience of working with relational databases, including the development of bespoke schemas, and writing performant SQL. Additionally, you will have experience in managing large and diverse multimodal biomedical data types. Finally, you will be able to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule, along with evidence of ability to take a leadership role and drive project completion, working independently, and organising and prioritising work to deliver accurate results to the required standard and to an agreed schedule.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 30 January 2027 and is funded by the Department.

Only applications received before 12 midday on 22 April 2024 will be considered. Please quote 171147 on all correspondence.

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