Data Steward

£39,375 - £41,843 per annum, dependent on skills and experience

Fixed Term Contract until March 2027

Full Time (Hybrid working available) 

We are seeking a Data Steward to join a new data interoperability team within the National Mouse Genetics Network (NMGN https://nmgn.mrc.ukri.org/). This is an exciting opportunity for you to build a robust skillset in data interoperability and data modelling required to link diverse datasets at scale.

Education/Qualifications/Training:

Essential:

• A strong life sciences or computational degree, or relevant work experience

Desirable:

• Training or education in relevant technical skill such as FAIR data, RDF or database management

Previous Work Experience:

Essential:

• Experience in building and using technical pipelines for data curation and management.
• Evidence of technical skill and aptitude in at least one of the following: SQL, database management, RDF, SPARQL or similar
• Demonstration of consistency and independence when working on long-term projects whilst making decisions and communicating to project stakeholders

Desirable:

• Experience of working with metadata, controlled vocabularies and semantic web technologies for data mapping and FAIR data
• Evidence of having worked on Agile projects

Knowledge and Experience:

Essential:

• Experience and knowledge across complex datasets and types such as big data for transcriptomics, time-series and genomics
• Knowledge of linked data and controlled vocabularies
• Experience working effectively within a technical team

Desirable:

• Knowledge of concepts and standards in data management
• Technical experience of the FAIR lifecycle linked data and semantic web technology

Personal Skills/Behaviours/Qualities:

Essential:

• Possess strong written and verbal communication skills
• Be proactive and self-organised
• Capable of working under pressure to meet deadlines
• Able to develop and maintain effective professional working relationships
• Willing to learn new technical skills as project goals change

Key Responsibilities

• Flagging and escalating issues in data to project stakeholders according to a preliminary set of validation metrics to uphold the quality of scientific data
• Work with NMGN stakeholders to survey metadata and data model requirements for the wide range of scientific data modalities collected by the community
• Contribute to shaping new standards for annotating scientific datasets
• Build a technical pipeline for mapping relational databases to the Resource Description Framework (RDF) and linking data to deliver AI-ready knowledge graphs to computational biologists
• Build skills in Python, SQL, RDF, R, database management and other technical domains as required
• Produce high-quality documentation as required for collaborative open source pipelines
• Maintain resources and code using version control and Git
• Communicate effectively with NMGN stakeholders and the scientific community using various platforms such as email, video conferencing, and attending and presenting at meetings and conferences
• Learn the FAIR principles (https://www.go-fair.org/fair-principles/) and work to ensure that our data-capture software and data-linking pipeline is FAIR-compliant across all levels
• Work systematically to harmonise metadata across the data types collected by the NMGN and refer to expert opinion from the network
• Provide support to the NMGN cluster teams with all aspects of data uploads, data corrections and troubleshooting as expected in a developmental project
• Mentoring and supporting more junior colleagues as the team expands

Benefits:

• Annual leave is 30 days per annum, plus 10.5 public holidays and Privilege days
• Defined-benefit pension scheme
• On site canteen
• Free parking

How to Apply

For full details and to apply, please click on the ‘Apply’ button to be redirected to our website. Please quote reference MLC 2449 

The closing date for applications is Sunday 18^th August 2024.

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