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- Tasks: Analyse and interpret complex data to improve stroke care and research.
- Company: Join the leading stroke data programme at King's College London.
- Benefits: Full-time role with a competitive salary and fixed-term contract until 2027.
- Why this job: Make a real difference in healthcare by improving stroke services across the UK.
- Qualifications: Proficiency in programming tools and a passion for clinical research data.
- Other info: Be part of a collaborative team focused on innovative solutions.
The predicted salary is between 30000 - 50000 £ per year.
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.
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.
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.
Data Scientist in London employer: Kings College London
Contact Detail:
Kings College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SSNAP on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data manipulation projects. When you get that interview, having tangible examples of your work can set you apart from the crowd.
✨Tip Number 3
Be ready to discuss real-world problems! Brush up on recent advancements in stroke care and think about how your skills can contribute to improving outcomes. This shows you're not just a data whiz but also genuinely interested in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the SSNAP team.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data manipulation and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about stroke care and how your problem-solving skills can contribute to our team. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Technical Skills: Since proficiency in programming tools is essential, make sure to mention specific languages or tools you’re familiar with. We love seeing examples of how you've used these skills in past projects or roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Kings College London
✨Know Your Data Tools
Make sure you brush up on the programming tools and database manipulation techniques mentioned in the job description. Be ready to discuss your experience with these tools and how you've used them to solve problems in past projects.
✨Show Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in your previous roles. Think about specific instances where your inventive solutions made a difference, especially in a team setting, as collaboration is key for this role.
✨Understand Clinical Research Data
Familiarise yourself with clinical research data and its importance in stroke care. Being able to discuss relevant trends or findings in stroke research will show your genuine interest and knowledge in the field, which can set you apart from other candidates.
✨Be Organised and Proactive
Demonstrate your organisational and planning skills during the interview. You might want to prepare a brief outline of how you would approach a project or task related to stroke data analysis, showcasing your proactive attitude and ability to manage time effectively.
