Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Business Introduction
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.
Find out more: Our approach to R&D
Role Overview
We are seeking a Clinical Scientist with a background as a physician-scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements, setting our team apart as leaders in translational medicine.
The role is uniquely positioned to bridge clinical practice, advanced AIML research, and the Respiratory, Immunology and Inflammation Research Unit (RIIRU), with a particular emphasis on leveraging large language models (LLMs) and other emerging AIML methodologies. The successful candidate will be a training fellow, upskilling in AIML while providing essential clinical expertise to drive innovation in drug discovery and development.
You will benefit from dedicated mentorship and hands-on training in advanced AIML techniques, fostering rapid professional growth at the intersection of clinical science and artificial intelligence.
Key Responsibilities
-
Clinical and Research Integration
- Translational Research Liaison: Act as the primary conduit for introducing new AIML methodologies to RIIRU.
- Collaborate with the World Models of Medicine team to identify AIML opportunities.
- Partner with translational science, target discovery, and biomarker discovery groups to advance AIML applications.
- Clinical Development Alignment: Collaborate with RIIRU Clinical Development Leads to align objectives with strategic clinical development plans, ensuring translational research efforts remain relevant and impactful.
- Research Clinic Engagement: Dedicate one day per week to attend a research clinic, such as an internal medicine clinic, at a partner translational research network hospital. Contribute to GSK-sponsored studies, providing real-world clinical context to our research.
-
AIML and Innovation
- Novel Use Case Identification: Proactively identify innovative, high-impact AIML applications in oncology, especially through LLMs, multimodal data analysis, and emerging technologies, using your understanding of clinical workflows and unmet needs.
- Product Scoping: Lead the scoping of new AIML products and projects. Define problem statements, outline clinical and scientific requirements, and collaborate with data scientists and engineers to evaluate feasibility and potential impact.
- Multimodal Data Interpretation: Work with data scientists to interpret and provide clinical context for AIML-generated insights from diverse data types, including clinical notes, pathology images, genomic data, and patient-reported outcomes.
- LLM Application and Validation: Guide the application of Large Language Models for oncology use cases such as synthesising scientific literature, summarising clinical trial data, and identifying novel patient cohorts or biomarkers. Provide clinical validation to ensure LLM outputs are accurate, safe, and meaningful.
- Target Identification & Biomarker Discovery: Partner with target identification and biomarker discovery teams to apply AIML in identifying and validating new therapeutic targets and predictive biomarkers, ensuring clinical utility and biological plausibility.
- Algorithmic and Methodological Strategy: Provide clinical and scientific input into AIML algorithm and computational pipeline design and strategy. Help define problems and evaluate solutions, ensuring technology is tailored to oncology research needs.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Why You?
Basic Required Qualifications
We are looking for professionals with these required skills to achieve our goal:
- Medical degree and PhD (or equivalent) A combined medical and doctoral degree, demonstrating a strong foundation in both clinical medicine and hypothesis-driven research.
- Internal Medicine Expertise: Experience in a specific medical domain overlapping with RIIRU priority disease areas.
- Research Acumen: A strong track record of scientific publication and research in a relevant field.
Preferred Qualifications and Skills
If you have the following characteristics, it would be a plus:
- Computational Fluency: Solid understanding of data science, machine learning, and large language models. A fast learner with curiosity for new technologies and their clinical applications.
- Systems Thinking: Ability to approach clinical problems in a structured, data-driven manner and appreciate how AIML can provide end-to-end solutions for improved efficiency and outcomes.
- Multimodal Data Experience: Familiarity with integrating diverse types of clinical and biological data.
Skills
Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test Documentation
Why GSK?
Uniting science, technology, and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact, and doing the right thing is the foundation for how, together, we deliver for patients, shareholders, and our people.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service, or any basis prohibited under federal, state, or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive.
Important Notice to Employment Businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/agency and GSK. In the absence of such written authorization being obtained, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location