Clinical Data Scientist/Analyst

Closing: 16^th August 2024 at 12:00 noon.

Location: Nuffield Department of Women’s & Reproductive Health, Level 3, Women’s Centre, John Radcliffe Hospital, Headington, Oxford

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.

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