Senior Data Scientist

The Big Data Institute at the Nuffield Department of Medicine has an exciting
opportunity for an experienced Senior Data Scientist to join a new
Biostatistics and Artificial Intelligence Group led by Professor Chris Holmes.
The Group is located Oxford’s Big Data Institute (BDI) and closely linked with
the Department of Statistics.





You will be based in the Big Data Institute with close links to the Department
of Statistics. The Senior Data Scientist will act as the primary interface
between different data analytical and data provisioning teams across
industrial partnerships, providing senior oversight to manage unique highly
dimensional biomedical and patient data, ensuring accurate data harmonisation,
integration and version control.





You will be responsible for identifying, defining and planning the use of
novel and established methodologies to develop and enhance data tracking,
storage (databases), querying and reporting strategies for each project,
providing advice to scientists and clinicians within the University and
externally. You will produce detailed project plans to support reproducible
analysis; oversee resourcing, set and monitor deliverables, and identify and
troubleshoot technical or scientific problems, working collaboratively across
the partnership to overcome issues, and you will design database schemas for
large scale data and pool together and harmonise data from multiple modalities
and clinical trials ready for research.





It is essential that you hold a Master’s degree in a mathematical or
computational area, and have extensive experience in data science and data
wrangling in a biomedical space, and experience and fluency in programming
(with python, R, and SQL). You will also have experience in bioinformatics
techniques, data management and relational databases, and experience in
developing user-friendly interfaces for data visualisation and quality
control. It is essential you can independently manage your own workload and
plan and manage research projects, and have excellent organisational and
prioritisation skills with an ability to work under pressure at times to meet
deadlines.





Applications for this vacancy should be made online and you will need to
upload a supporting statement and CV. Your supporting statement must explain
how you meet each of the selection criteria for the post using examples of
your skills and experience. Please restrict your documentation to your CV and
supporting statement only. Any other documents will be requested at a later
date.





This position is offered full time on a fixed term contract for 36 months.





Only applications received before 12 midday on 2 June 2025 will be considered.
Please quote **173896** on all correspondence.