Engineer field - Oxford, Oxfordshire, United Kingdom - SRG

Description

The research team is actively working on multiple collaborative data platforms, supporting cutting-edge discovery projects involving complex extract-transform-load data pipelines, data engineering, analysis and visualisation.

To further develop and support the end-to-end data management, we are recruiting a highly motivated Data Engineer to join to the multi-skilled team.

Working directly together with scientists and researchers within and with collaborators and partners internationally you will ensure that datasets are appropriately captured, annotated, and shared within the data platform.

This will require innovation and further development of ETL pipelines, capture, sharing, and visualisation approaches following the findable, accessible, interoperable, and reproducible (FAIR) approach, as well as data cleansing, enabling governance by design of data, integration with existing data management solutions and with external collaborators.

• Implement end-to-end data engineering solutions, ensure that datasets and their metadata are captured in an unambiguous manner to support research hypothesis generation.
• Design and develop novel methodologies, providing performant, robust and scalable data products and services.
• 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.
• Work closely with all members of the Research Informatics Team, project researchers on all levels.
• Work with data owners to ensure that data sets are made available in a timely and self documenting fashion.
• Attend scientific seminars, meetings and to contribute to presentations or other means of disseminating outputs as appropriate. Selection criteria

• Hold a Masters Degree (or equivalent) in Bioinformatics, Biochemistry, Computer Science or other related computational subject.
• Experience in managing large and diverse multimodal biomedical data types.
• Proficiency in coding in either Python or R and other scripting languages.
• Experience of working with relational databases, including the development of bespoke schemas, and writing performant SQL.
• Experience of building data software solutions in Linux.
• Strong experience of software engineering approaches including CI/CD and agile approaches.
• Logical thinking, excellent analytical and quantitative skills with a proven ability to solve problems and think critically about scientific processes so as to generate robust, reproducible approaches.
• 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.
• Demonstrable ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule.

• Working knowledge of biology and experience in computational biology in an immunological context.
• Experience with no-SQL databases, knowledge graphs.
• Experience providing visualisation solutions for data science problems.
• Experience of web application development.