King's College London

About Us

We are seeking a Data Scientist to join the Sentinel Stroke National Audit Programme (SSNAP)—the leading source of stroke data for England, Wales, and Northern Ireland. This is an exciting opportunity to play a key role in delivering complex projects that drive improvements in stroke care and research. 

About SSNAP

SSNAP is a national healthcare quality improvement programme based in the School of Life Course and Population Sciences at King’s College London. We measure both the processes of care (clinical audit) provided to stroke patients and the structure of stroke services (organisational audit) against evidence-based standards. Since 2013, SSNAP has recorded over 900,000 cases, making it the most comprehensive stroke audit in the UK. 

About the role

The successful candidate will be a keen problem-solver and a team-player and will demonstrate that they can formulate inventive solutions to technological challenges. 

​The postholder will be part of a highly collaborative and inclusive team. Proficiency in the use of programming tools for data and database manipulation is essential. Applicants will have a strong interest in and knowledge of clinical research data, a proactive attitude, and excellent organisational and planning skills. 

This is a full-time post (35 hours per week), and you will be offered a fixed term contract until 31/03/2027.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. Educated to degree standard and/or equivalent qualifications/experience
2. Experience contributing to large data projects that require data cleaning, data modelling and data visualisation
3. Experience developing dashboards and automated processes
4. Highly proficient in Python and SQL
5. Knowledge of version control systems e.g. GitHub
6. Understanding of data governance, information security, or ethical considerations when handling personal or sensitive data, particularly in health or research contexts.
7. Proficiency in relational databases

Desirable criteria

1. Familiarity with statistical analysis and data science techniques used in applied research settings, such as exploratory data analysis, hypothesis testing, or simple predictive modelling. 
2. Experience working with healthcare, clinical audit, or research datasets 
3. Experience working with non-relational databases 

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

 

At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.

The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.

We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination.

When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.

We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Interviews are due to be held in March.