Health Data Analyst

University-of-Oxford; Oxford; Sur place; GBP 38 000 - 48 000; Plein temps

Résumé du poste

The Health Data Analyst position is with Oxford Population Health (Nuffield Department of Population Health, University of Oxford) at Old Road Campus, Headington, Oxford. This Grade 7 post sits within a team of about 10 researchers and administrators working across statistics, machine learning, and image analysis.

The role focuses on managing highly dimensional data from the cohort in Uganda, offering opportunities to apply quantitative approaches to infectious disease research within a

Qualifications

• Strong programming and statistical analysis skills.
• Experience with large biomedical datasets.
• Interest in infectious disease research.
• Ability to work in a multidisciplinary team.

Responsabilités

• Manage highly dimensional health data from Uganda cohorts.
• Apply statistical and machine learning methods.
• Conduct data quality control and reproducible analyses.
• Collaborate with DPhils, postdocs, and administrators.

Connaissances

Programming

Data analysis

Quality control

Team collaboration

Python

R

SQL

Outils

Python

R

SQL

Description du poste

UK date and time: 01-November-2026 03:53

Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF

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.

Only applications received by 12.00 midday on 23rd November 2026 will be considered.