Clinical Data Scientist/Analyst

The Nuffield Department of Women’s & Reproductive Health (NDWRH) is seeking a
full-time Clinical Data Scientist/Analyst to process and analyse data stored
within the Oxford University Hospital NHS Foundation Trust’s (OUH) Electronic
Patient Record (EPR) system. This role is pivotal in extracting valuable
insights from complex datasets, contributing to the development of cutting-
edge clinical research studies, and supporting high-impact research projects
aimed at improving health outcomes for mothers, babies, and families.





The NDWRH currently hosts one of the world’s largest repositories of pregnancy
data, including various biosignals, clinical data, genetic information, and
imaging data, encompassing hundreds of thousands of pregnancies. The role
involves preparing these data and associated documentation for scientific
interrogation, AI model development, and advanced statistical analysis,
ensuring effective utilisation to drive clinical and scientific discoveries.





This is an exciting opportunity to work in a high-impact field, advancing
women's and reproductive health using state-of-the-art research. The
successful candidate will join a collegial environment with numerous learning
and networking opportunities. Our diverse team comprises clinicians, data
scientists, AI researchers, fundamental science researchers, and students,
fostering an inclusive and friendly culture that promotes collaboration and
professional development.





The Clinical Data Scientist/Analyst will work on a diverse array of projects,
ranging from large-scale epidemiological studies to clinical trials and health
services research. This role offers the chance to engage with cutting-edge
research methodologies and data analysis techniques, providing a dynamic and
intellectually stimulating work environment. The successful candidate will
also collaborate with international institutions, contributing to innovative
research. Attention to detail, a strong work ethic, and an appreciation for
patient data protection and confidentiality are paramount.





The suitable candidate must hold an advanced degree (e.g., PhD) in Computer
Science, Data Science, Engineering, or a related field, or possess equivalent
experience. The candidate should demonstrate strong analytical and computer
skills, including high proficiency in Python and SQL, and experience with data
management and analysis tools. Familiarity with electronic health records
(EHR) systems, particularly in a clinical setting, is essential. They must be
able to work effectively as part of a multidisciplinary and multicultural
team, support team members, and exhibit excellent interpersonal, written, and
oral communication skills.





This post is offered on a full-time basis and is fixed-term for one year, with
the possibility of an extension depending on funding. Applications for
flexible working arrangements are welcomed and will be considered in line with
business needs.





The closing date for applications is 12.00 noon on Friday 16th August 2024.





You will be required to upload a CV and Supporting Statement as part of your
online application. Click here for information and advice on writing an
effective Supporting Statement.