Research Fellow in AI Methods Applied to Health Records

King's College London; London; On-site; GBP 35,000 - 50,000; Full time

Job summary

King's College London is seeking a Research Fellow for an exciting epilepsy research project utilizing Natural Language Processing and Large Language Models. The role involves analyzing Electronic Health Records and developing predictive models, requiring a PhD and expertise in data science and programming.

Qualifications

• PhD qualified in relevant subject area or equivalent professional experience.
• Familiarity with NLP methods and LLMs, evidenced by publications.
• Proven ability to write code in Python.

Responsibilities

• Responsible for delivering and developing an epilepsy research project.
• Supervise a junior researcher.
• Develop machine learning models to predict clinical outcomes.

Skills

Natural Language Processing

Data Science

Python

Communication

Education

PhD in relevant subject area

Job description

About Us

The School of Neuroscience at King's College London is the second largest university neuroscience department in the UK, with approximately 100 faculty and a total of 600 staff and students.

The School holds approximately £220 million in currently-active research grants, and, out of all universities globally, has the 4th highest number of highly-cited publications in neuroscience (source: SciVal 2022).

The regional Neurology and Neurosurgery service is located in King's College Hospital on the same campus, and, including stroke and neurorehabilitation, has approximately 200 inpatient beds, making it one of the largest and busiest such centres in the UK. King's College Hospital is home to the largest EEG department in the UK and one of the busiest epilepsy specialist services.

About The Role

This exciting research role will be responsible for continuing the successful delivery and future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular.

They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential, as is the ability and knowledge to help develop new methods.

The postholder will also supervise a junior researcher. This is a full-time post (35 hours per week) and you will be offered an a fixed term contract until 28 February 2026.

About You

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

Essential criteria

1. PhD qualified in relevant subject area or equivalent professional experience
2. Familiarity and experience with NLP methods and especially LLMs, evidenced by publications and/or dissertation or equivalent evidence of expertise and completed research outputs
3. Data science skills, especially data analysis and prediction modelling
4. Proven ability to write code in Python
5. Experience working in a research team
6. Excellent writing and communication skills, especially for academic papers

Desirable criteria

1. Experience working with NHS data or other medical data
2. Understanding of and experience working with digital neural networks
3. Experience mentoring junior research staff
4. Demonstrable career trajectory in AI Health

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

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

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 advert. 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. 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 on date to be confirmed We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.