Skip to main content
Post your CV and find your next job on Indeed!

Health Data Scientist jobs

Sort by: -
    • The health data analyst will be part of a team of approximately 10 individuals at Oxford, including DPhils, postdocs, and administrators.
    • View all University of Oxford jobs - Oxford jobs - Data Analyst jobs in Oxford
    • Salary Search: Health Data Analyst salaries in Oxford
    • See popular questions & answers about University of Oxford
  • View similar jobs with this employer
    • Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical…
    • Optimise semantic data models for AI-readiness and natural language interaction.
    • Hands-on experience with Power BI semantic models or enterprise data modelling.
    • Understanding of data-product lifecycles, data quality, governance, reproducibility and auditable insightful workflows.
    • Prototype exploratory, agent-driven workflows that combine LLM-based reasoning with cheminformatics tools, predictive models and experimental data to accelerate…
    • Experience operating a formal data-fabric or data-mesh model with domain-oriented ownership and marketplace-style data product discovery at enterprise scale.
    • Comfort working with external vendors and CRO-managed data.
    • Serve as lead programmer for one or two clinical trials, interpreting protocols, SAPs, data…
  • View similar jobs with this employer
    • You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and…
    • Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products.
    • Own & Optimise: Contribute throughout the data science and MLOps lifecycle, continuously improving model performance and reliability.
    • You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and…
    • Work with rich, varied data – leverage transactional, digital, social, loyalty, and other data sources to tell compelling stories through analytics.
  • View similar jobs with this employer
    • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
    • Bachelor's Degree or equivalent.
    • Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science powered solutions to interesting problems.
    • Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science powered solutions to interesting problems.

Job Post Details

Health Data Analyst
University of Oxford
·
4.3
Oxford OX3 7LF
£40,178 - £48,700 a year
Apply on company site

Job details

£40,178 - £48,700 a year
Oxford OX3 7LF

Full job description

Health Data Analyst
Nuffield Department of Population Health, Old Road Campus, Headington, Oxford
Grade 7
We are seeking a well-organised individual with a strong interest in programming, data analyses, and quality control. The health data analyst will be part of a team of approximately 10 individuals at Oxford, including DPhils, postdocs, and administrators. The Oxford team works across statistical, machine learning, and image analysis methods. The primary focus of this role is to manage the unique, highly dimensional data (spatial-temporal, images, biomedical datasets, etc.) generated from the cohort in Uganda. This post provides an exciting opportunity to work with diverse data types, address a disease of poverty, and join a multi-disciplinary team employing quantitative approaches to novel biomedical problems. The position is a great opportunity for someone with a quantitative background, who would like to gain experience working with a large research team on challenging data science projects.
The post is suitable for someone with excellent programming and statistical analysis skills from quantitative background who has an interest in infectious disease research. The candidate will report directly to the study PI, Professor Goylette Chami.
Applications for this vacancy are to be made online and require a supporting statement and CV. The supporting statement must address the selection criteria for the post using examples of your skills and experience.
Informal enquires are encouraged and should be addressed to Prof. Goylette Chami (Goylette.chami@ndph.ox.ac.uk). Further particulars, including details of how to apply, can be obtained from the document below.
Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.
Only applications received by 12.00 midday on 23rd November 2026 will be considered.
Let Employers Find YouUpload Your Resume