Lecturer in Large Language Models (LLMs) for Healthcare

Updated: 2 months ago
Location: London, ENGLAND
Job Type: FullTime
Deadline: 19 Feb 2025

15 Feb 2025
Job Information
Organisation/Company

KINGS COLLEGE LONDON
Research Field

Computer science
Sociology
Ethics in health sciences
Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)
Country

United Kingdom
Application Deadline

19 Feb 2025 - 00:00 (UTC)
Type of Contract

Permanent
Job Status

Full-time
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

About Us

King’s College London is an internationally renowned university delivering exceptional education and world-leading research. The university is dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. The Strategic Vision 2029 looks forward to King’s College London’s 200th anniversary in 2029 and sets out ambitious plans in five key areas:

  • Educating the next generation of change-makers 
  • Challenging ideas and driving change through research 
  • Giving back to society through meaningful service 
  • Working with our local communities in London 
  • Fostering global citizens with an international perspective

The Institute of Psychiatry, Psychology & Neuroscience (IoPPN) is a Faculty of King's College London and the largest academic community in Europe devoted to the study and prevention of mental illness and brain disease. The School of Mental Health & Psychological Sciences (MHaPS) is one of three schools under the IoPPN, comprised of the four departments of Psychology; Social, Genetic & Developmental Psychiatry; Health Service & Population Research; and Biostatistics & Health Informatics. With over 100 Principal Investigators, our research spans development from childhood to old age, encompassing basic research through to the development and implementation of treatments, services and policy. 

King’s College London, through rich collaborations with NHS and industry partners such as Amazon, Databricks and CogStack, and national infrastructure including the NIHR and Health Data Research UK (HDR UK: https://www.hdruk.ac.uk ), is at the forefront of clinical Large Language Model Development and Applications and health data science research in the UK. We pride ourselves on the impact of our research, which has led to the deployment of novel informatics applications and platforms to King’s Health Partners (KHP; https://www.kingshealthpartners.org/ ) and other NHS sites across London and the UK, and beyond. These applications are beginning to realise the potential of large-scale analytics and the promise of data driven healthcare.

About The Role

We are offering an exciting opportunity for Lecturer in Large Language Models (LLMs) for Healthcare in the Department of Biostatistics and Health Informatics at the Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London. The focus of this role is on developing a portfolio of health-related LLMs research which sits within, and benefits from, leading programmes of clinical, health, clinical and bioinformatics at King’s College London. The post holder will work on a range of machine and deep learning techniques and will also be expected to support new submissions to funders as a co-applicant. They will be expected to teach on our undergraduate and postgraduate programmes. This is a full time post (100% full time equivalent), and will be offered on an indefinite contract.

About You

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

Essential criteria

  • PhD in Computer Science, AI, Data Science, or related field 
  • Research portfolio in the use of big biomedical data for better patient care 
  • Knowledge/skills in Health/Clinical informatics & multi disciplinary research 
  • Experience of delivering teaching to postgraduate and/or undergraduate students 
  • Publication record appropriate to career length and level of appointment 
  • Strong publication record in top-tier AI or health informatics journals 
  • Experience in teaching AI, ML, or health informatics 8. Expertise/Interest in large language models (LLMs), GenAI and natural language processing 
  • Desirable criteria 

  • Participation in grant applications to funders 
  • Postdoctoral research experience 
  • Experience in leading AI/health-related research projects 
  • Development of innovative teaching methods 
  • Experience with health informatics standards (e.g., HL7, FHIR) 
  • 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. 

    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 in February. We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

    Grade and Salary: £53,149 - £62,422 per annum inclusive of London Weighting Allowance
    Job ID: 105065
    Close Date: 19-Feb-2025
    Contact Person: Fernando Lanza
    Contact Details: fernando.lanza@kcl.ac.uk


    Where to apply
    Website
    https://www.timeshighereducation.com/unijobs/listing/388181/lecturer-in-large-l…

    Requirements
    Additional Information
    Work Location(s)
    Number of offers available
    1
    Company/Institute
    KINGS COLLEGE LONDON
    Country
    United Kingdom
    City
    London (Greater) (GB)

    Contact
    City

    London (Greater) (GB)

    STATUS: EXPIRED

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