Research Associate in Artificial Intelligence Applied to Electronic Health Records
Research Associate in Artificial Intelligence Applied to Electronic Health Records

Research Associate in Artificial Intelligence Applied to Electronic Health Records

Full-Time 37000 - 44000 £ / year (est.) No home office possible
King’s College London

At a Glance

  • Tasks: Join groundbreaking epilepsy research using AI and data science to improve patient outcomes.
  • Company: King's College London, a leader in innovative health research.
  • Benefits: Professional development days, competitive salary, and a supportive research environment.
  • Other info: Full-time role with excellent career growth until March 2027.
  • Why this job: Make a real difference in healthcare by applying your skills in AI and data science.
  • Qualifications: PhD in relevant field and experience in data science techniques.

The predicted salary is between 37000 - 44000 £ per year.

This exciting research role will be responsible for helping to continue the successful delivery and future development of ongoing epilepsy research projects funded by the UK Epilepsy Research Institute, Medical Research Council and Angelini Pharma. The Research Fellow will use a range of Data Science skills – including Artificial Intelligence (AI), Natural Language Processing (NLP) methods with a special focus on generative Large Language Models (LLMs), as well as Machine Learning (ML) tools – to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data Science, but not necessarily in a health‑related field. They will also help to further develop ML models to predict patients' clinical outcomes. This is a full‑time post, and a fixed‑term contract will be offered until 31 March 2027.

Research staff at King's are entitled to at least 10 days per year (pro‑rata) for professional development, an entitlement that applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalents up to and including grade 7.

Essential criteria
  • PhD qualified in a relevant subject area, e.g. data science, computer science, AI/NLP
  • Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by publications and/or dissertation, or equivalent evidence of expertise and completed research outputs
  • Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs
  • Proven ability to write code in Python
  • Experience working in a research environment
  • Excellent writing and communication skills, including the ability to communicate technical concepts to a non‑technical audience
Desirable criteria
  • Experience working with NHS data or other medical data
  • Experience working with text data
  • Demonstrable knowledge of ML Ops
  • Good knowledge of best practices in data analysis in Python

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Research Associate in Artificial Intelligence Applied to Electronic Health Records employer: King’s College London

At King's College London, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of health research. Our commitment to employee growth is evident through our generous professional development opportunities, including at least 10 days per year dedicated to enhancing your skills. Located in the heart of London, you will be part of groundbreaking research projects that not only advance your career but also contribute significantly to improving patient outcomes in epilepsy care.
King’s College London

Contact Detail:

King’s College London Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate in Artificial Intelligence Applied to Electronic Health Records

Tip Number 1

Network like a pro! Reach out to professionals in the AI and health data fields on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, NLP, or ML. This gives potential employers a taste of what you can do beyond your CV.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex concepts in simple terms – it’s key for roles that involve working with non-technical teams.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are keen to join us!

We think you need these skills to ace Research Associate in Artificial Intelligence Applied to Electronic Health Records

Data Science
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Large Language Models (LLMs)
Machine Learning (ML)
Data Analysis
Prediction Modelling
Python Programming
Research Environment Experience
Excellent Writing Skills
Communication Skills
Technical Communication
ML Ops
Best Practices in Data Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in Data Science and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in AI, NLP, and ML!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this research role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear connection to our work at StudySmarter.

Showcase Your Communication Skills: Since you'll be communicating complex ideas, it's crucial to demonstrate your ability to explain technical concepts clearly. Use examples from your past experiences where you successfully communicated with non-technical audiences.

Apply Through Our Website: We encourage you to apply directly 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 King’s College London

Know Your Data Science Stuff

Make sure you brush up on your Data Science techniques, especially those related to AI and NLP. Be ready to discuss your experience with prediction modelling and any relevant publications or projects you've worked on. This will show that you’re not just familiar with the concepts but have practical experience too.

Show Off Your Coding Skills

Since Python is a key requirement for this role, be prepared to talk about your coding experience. You might even want to bring along some code samples or projects that demonstrate your ability to write clean, efficient code. This will help you stand out as a candidate who can hit the ground running.

Communicate Like a Pro

You’ll need to explain complex technical concepts to non-technical audiences, so practice how you would do this. Think of examples where you’ve successfully communicated difficult ideas in simple terms. This will highlight your excellent communication skills, which are essential for the role.

Research the Organisation

Familiarise yourself with the UK Epilepsy Research Institute and their ongoing projects. Understanding their mission and recent developments will not only help you answer questions more effectively but also show your genuine interest in the role and the impact of your work.

Research Associate in Artificial Intelligence Applied to Electronic Health Records
King’s College London

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