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- Tasks: Join our team to develop innovative Large Language Models for health coaching in a groundbreaking study.
- Company: King's College London is a leading institution in life sciences and medicine, dedicated to impactful research.
- Benefits: Enjoy a competitive salary, inclusive culture, and the chance to work on cutting-edge AI projects.
- Why this job: Be part of a revolutionary project that combines AI with healthcare to improve maternal and child health.
- Qualifications: PhD in a relevant field, medical degree, and experience in AI/LLMs in healthcare are essential.
- Other info: This role offers a fixed-term contract until 2029, with opportunities for professional growth.
The predicted salary is between 44355 - 51735 Ā£ per year.
Organisation/Company KINGS COLLEGE LONDON Research Field Architecture Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom Application Deadline 19 Aug 2025 – 00:00 (UTC) Type of Contract Other 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
The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at Kingās College London. The School unites over 400 experts in women and childrenās health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to lifeās landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women\’s Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across Kingās Denmark Hill, Guyās, St Thomasā and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.
About the role
We are looking for a Research Scientist (Medical) to join our team delivering the EMBRACE study, an innovative research project led by Professor Josip Car. EMBRACE is a visionary, multicomponent international research programme. The first of its kind in the world, supported by Inkfish with Ā£35M core funds over six years. It is a global study of 60,000 participants, including 20,000 mothers, 20,000 infants and up to 20,000 partners. It brings together world-leading clinician scientists across six distinguished healthcare organisations, exceptional AI and technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific breakthroughs, revolutionise maternal and early childhood health through precision-personalised interventions, powered by a groundbreaking symbiosis of cutting-edge AI combined with human support.
The successful candidate will partake in the development of personalised, context-sensitive Large Language Models (LLMs) for health coaching. By delivering real-time, adaptive recommendations following exercise sessions and integrating multi-modal health and lifestyle data, the post-holder will play a key role in ensuring the medical validity and real-world relevance of the coaching recommendations. Collaborating closely with AI researchers, the individual will integrate medical knowledge into the LLMs, enhance their social intelligence (empathy, theory-of-mind), and evaluate multilingual and culturally sensitive deployments.
We are looking for an individual with a medical degree, a strong track record in public health and digital health research including peer-reviewed publications, an interest in LLMs as well as experience of using LLMs for healthcare research.
The post is based in the Faculty of Life Sciences and Medicine, and will be closely affiliated with the Informatics Department in the Faculty of Natural, Mathematical and Engineering Sciences.
This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31/07/2029.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- PhD qualified in relevant subject area *
- Undergraduate medical degree, and Master of Public Health or related field
- Demonstrable experience in AI/LLMs in healthcare contexts
- Experience of working in digital health research, from study protocol development to execution and data analysis, with a strong understanding of health data and personalised healthcare
- Evidence of writing peer-reviewed academic papers
- Demonstrable experience in medical or healthcare-related research, with evidence of interdisciplinary expertise combining medical and AI domains
- Strong understanding of natural language processing (NLP) techniques, including tokenisation, embeddings, and transformer architectures and familiarity with statistical methods and evaluation metrics for NLP models, such as F1-score
- Experience of developing digital therapeutics
- Excellent project management skills with the ability to initiate, plan, organise, implement and deliver programmes of work to tight deadlines
- Understanding of digital health platforms
- Ability or potential to contribute to the development of funding proposals in order to generate external funding to support research projects
- Knowledge of reinforcement learning techniques, particularly Reinforcement Learning with Human Feedback (RLHF), as applied to LLMs
- Awareness of regulatory frameworks in healthcare research, such as GDPR, HIPAA, or MHRA guidelines as relating to digital therapeutics and health AI
* 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.
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 āApply Nowā. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further Information
Please note that although this role is advertised as Research Scientist, your contractual job title will be āResearch Associate – Inkfish (Medical) in Large Language Modelsā
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.
We encourage applicants to apply early. We reserve the right to close the advert if suitable applications are received.
To find out how our managers will review your application, please take a look at our āHow we Recruitā pages.
This post is subject to Disclosure and Barring Service.
Grade and Salary: Ā£44,355 to Ā£51,735 per annum, including London Weighting Allowance
Job ID: 118866
Close Date: 19-Aug-2025
Contact Person: Prof Josip Car
Contact Details:
#J-18808-Ljbffr
Inkfish Research Scientist (Medical) in Large Language Models employer: Kings College London
Contact Detail:
Kings College London Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Inkfish Research Scientist (Medical) in Large Language Models
āØTip Number 1
Network with professionals in the field of AI and healthcare. Attend relevant conferences or webinars where you can meet researchers and industry experts. This can help you gain insights into the latest trends and potentially lead to referrals.
āØTip Number 2
Familiarise yourself with the specific projects and research being conducted at Kingās College London, particularly those related to the EMBRACE study. Understanding their goals and methodologies will allow you to tailor your discussions and demonstrate your genuine interest during interviews.
āØTip Number 3
Engage with the academic community by publishing articles or papers on topics related to LLMs and healthcare. This not only showcases your expertise but also helps you build a reputation in the field, making you a more attractive candidate.
āØTip Number 4
Prepare for potential interviews by practising answers to common questions about interdisciplinary research and your experience with AI in healthcare. Highlight your project management skills and how they relate to the role, as this will be crucial for success in the position.
We think you need these skills to ace Inkfish Research Scientist (Medical) in Large Language Models
Some tips for your application š«”
Tailor Your CV: Make sure your CV highlights your medical degree, relevant research experience, and any publications. Emphasise your skills in AI and LLMs, as well as your understanding of digital health.
Craft a Strong Supporting Statement: In your supporting statement, clearly address how you meet the essential criteria listed in the job description. Use specific examples from your experience to demonstrate your qualifications and interest in the role.
Highlight Interdisciplinary Expertise: Since the role requires a combination of medical knowledge and AI expertise, make sure to showcase any interdisciplinary projects you've worked on. This will help illustrate your ability to bridge these fields effectively.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any grammatical errors or typos, and ensure that your writing is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Kings College London
āØShowcase Your Interdisciplinary Expertise
Highlight your experience in both medical and AI domains during the interview. Be prepared to discuss specific projects where you've successfully integrated these fields, as this role requires a strong understanding of how they intersect.
āØDemonstrate Knowledge of LLMs
Familiarise yourself with the latest advancements in Large Language Models, especially their applications in healthcare. Be ready to explain how you would approach developing context-sensitive models for health coaching.
āØPrepare for Technical Questions
Expect questions on natural language processing techniques and statistical methods relevant to NLP models. Brush up on concepts like tokenisation, embeddings, and evaluation metrics such as F1-score to showcase your technical proficiency.
āØDiscuss Your Research Impact
Be prepared to talk about your previous research and its impact on public health or digital health. Highlight any peer-reviewed publications and how your work has contributed to advancements in these areas, as this will demonstrate your capability and commitment to the field.
