We are seeking a well-organised individual with a strong interest in programming, data analyses, and quality control. The Data Scientist 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 analytical skills from a life science, mathematical, or computational background. The candidate will report directly to the study PI, Associate Professor Goylette Chami.

Informal enquires are encouraged and should be addressed to Dr 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 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.
The closing date for this vacancy is 12.00 midday on 28th November 2022.