Data Quality Analyst

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity’s most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics.Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford’s science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT’s transformative approach, using Whole Genome Sequencing (WGS) and Oracle’s cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges. Data Quality Analyst to support our goal of building a world-leading, high-quality and curated data resource to support our science teams in delivering transformative pathogen metagenomics systems. You will be responsible for identifying, investigating and resolving data quality issues including inaccuracies, inconsistencies and completeness issues to ensure that our data resource is accurate, reliable and trustworthy. You'll collaborate closely with the data acquisition team and our partnership managers to ensure that our partner network receives the feedback they need to learn from and continuously improve the quality of the data acquisition process. Key Responsibilities Responsible for profiling and analysing the data held within the data platform to identify errors, inconsistencies, duplicates and missing values, ensuring completeness and accuracy of the data sets. Curation of data to ensure that data meets the quality requirements of the science teams for their project work. Collaborate with the data engineers and science teams to ensure that data quality rules are defined, implemented and monitored in order to deliver a continuous improvement process with data acquisition partners. Resolve issues with data quality by investigating root causes with science teams and partners to implement solutions to data quality issues. Create and support data quality dashboards to validate the data and share insights on data quality with the science teams. Ensure data which has failed as part of the ingest services due to quality issues is actioned in a timely way. Work with the Data Governance Manager to support the implementation of data governance policies and standards within the data platform, ensuring that data access is managed correctly and that the data being used by science teams meets the required quality criteria. Work with the genomic data scientists, architects and data engineers to understand the data use cases and processing and how the infrastructure can be improved. Ensure that data management processes are meeting regulatory requirements and policy. Essential Knowledge, Skills and Experience Strong understanding of genomic data and the biological significance of quality metrics. Experience with pathogen sample metadata including MIC values and Antimicrobial Susceptibility. Experience with data analysis methods and tools, including statistical analysis and SQL querying for structured data. Ability to build and support analytical dashboards. Desirable Knowledge, Skills and Experience Experience with Oracle OCI. Experience with data quality tooling and profiling. Familiarity with data governance in a genomics data domain. Strong collaboration and communication skills in order to interact with both technical and science teams. Experience with healthcare clinical data and associated standards such as OMOP and SNOMED. Experience with designing and building analytical reports using tools such as Oracle Analytics, Tableau, Qlik, or Power BI. Key Attributes Collaboration Ability to work in a fast-paced environment Excellent problem-solving, analytical, and communication skills We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Vehicle Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact Terms of Appointment You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. #J-18808-Ljbffr