An exciting opportunity for a skilled and motivated Data Scientist to join a growing group (AXIS, Access eXtract and Integrate Safe Data) within the Clinical Informatics Research Unit (CIRU). This role will continue to establish and grow The Pre-hospital Research and Audit Network (PRANA). PRANA is creating an end to end research ready database. Currently there is no method for undertaking research at scale from pre hospital critical care all the way through to patient outcomes. Additional connections to other datasets such as traffic collision databases will also be incorporated into PRANA. By creating such a resource, the ability to identify life saving trends and treatments in medicine and road usage will be realised. This project has the potential to have a dramatic impact on emergency medicine treatment and governmental policy.
The ideal candidate will have a strong background in data science, particularly in transforming datasets and creating / maintaining data pipelines across different organisations and systems. The primary focus of this role will be to interact with different data sources from different organizations, to create data pipelines that facilitate the delivery of data into a central database system. This project will involve the establishment of this database and the data flows that create and expand PRANA. Following this research will be undertaken to utilise this data by our team and external researchers. PRANA will be hosted in the NHS Sub National Secure Data Environment (The Wessex SDE) so experience working with healthcare data and in secure Environments is also desirable.
The Data Analyst will report to the Data Science Lead driving forward the agenda within the unit. The Data Analyst will also report to the Chief Investigator of the PRANA research programme.
Duties and Key Responsibilities
- Utilise Python / SQL / Languages to create automated data flow pipelines from multiple sources into a central database
- To format and transform datasets received from multiple sources into the desired format for entry into the PRANA database. This should be done in a repeatable / automatable manner using computer code.
- Curate and consolidate clinical data from multiple sources
- Develop reports, visualisation tools
- Collaborate with cross-functional teams, including clinicians, statisticians, and software engineers, to design PRANA database and pipelines.
- Ensure compliance with regulatory requirements and ethical standards governing the conduct of clinical research.
- Utilise statistical analysis to explore the PRANA dataset – optional
As a Team Member:
- Work collaboratively to offer guidance / experience resolving sticking points on other projects.
- Use code versioning (GIT) to enable other team members to collaborate on projects when necessary.
- Participate in special projects to improve processes, tools, systems and organisation.
- Demonstrate commitment to the University's organisational values, including performing to an exceptionally high ethical standard and focus on integrity, collaboration and teamwork in all efforts.
The University of Southampton offers excellent rates of pay, career development and training opportunities as well as a generous holiday allowance (30 days) including bank holidays (8 days) and paid closure days (6 days).
The University of Southampton gives you access to a wide range of benefits in addition to our competitive rates of pay and pension scheme membership and excellent family leave arrangements.
If you would like to discuss the job with a member of the CIRU team please contact Dr Ashley Heinson on .
As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or quoting the job number.
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