AI/ML Research Scientist, Responsible AI

Council of State and Territorial Epidemiologists; Greater London; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading healthcare company is seeking a researcher to advance AI/ML methodologies for drug discovery. The ideal candidate will hold a PhD or equivalent and possess strong skills in machine learning and Python programming, with a proven publication record. Responsibilities include developing ethical ML methods and publishing research on AI applications in healthcare. This role offers the opportunity to work collaboratively across teams to implement responsible AI strategies in the drug development process.

Qualifications

• PhD or equivalent experience in ML research.
• Track record of high-quality ML research with publications.
• Strong foundation in machine learning and modelling approaches.
• Experience with complex datasets.
• Solid understanding of deep learning frameworks.

Responsibilities

• Publish ML research on responsible AI use.
• Develop ML methods for drug discovery applications.
• Support teams in building ethical ML software products.
• Collaborate with scientists and policy experts.

Skills

ML research

Python programming

Machine learning frameworks

Data analysis

Education

PhD in a quantitative discipline

Tools

PyTorch

TensorFlow

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.

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) 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)

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.