Job Description
At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. If this excites you and you want to be part of our team, we would love to chat.
We are looking for a researcher with a track record in successfully developing and publishing state-of-the-art AI/ML methods, preferably with a focus on large language models (LLMs), LLM-based agents, and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic.
The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.
In this role you will
Perform and publish ML research on the responsible use of AI agents in drug discovery and clinical applications.
Develop state-of-the-art ML methods to solve applied problems at the interface of AI agents, drug discovery and challenging biomedical datasets.
Support different teams across AIML and GSK in building ethical ML pipelines and software products.
Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK's responsible AI strategy.
Why you?
Basic Qualifications:
A PhD-equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML research engineer.
A track record of performing high quality ML research, evidenced by publications at major ML venues.
A strong foundation in machine learning and experience with state-of-the-art modelling approaches, especially LLMs and LLM-based systems.
Demonstrated programming expertise in Python and experience working with different types of complex and/or multi-modal datasets.
Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow).
Keenness to learn fast in a new domain and to develop your ML and software engineering skills.
Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority.
Preferred Qualifications:
Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
Contributions to relevant open-source projects.
A background or interest in drug discovery, biology, medicine or ethics.
Closing Date for Applications: Thursday 22nd January 2026 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process.
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.
Please note that your enquiry related to adjustments must be directed to . The recruitment FAQ guide is available online for additional questions.
