At a Glance
- Tasks: Conduct cutting-edge ML research to develop ethical AI solutions in healthcare.
- Company: Join GSK, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborate with experts across various fields in a dynamic and inclusive workplace.
- Why this job: Make a real difference in patient outcomes using AI and ML technologies.
- Qualifications: PhD or equivalent experience in ML, strong programming skills, and a passion for ethics.
The predicted salary is between 60000 - 80000 £ per year.
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. 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 foundation models 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.
Responsibilities
- Perform and publish ML research for the evaluation and development of biomedical foundation models across various healthcare modalities, including multimodal data.
- Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, 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.
Qualifications
- A PhD‑equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional ML research engineer experience.
- 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 foundation models.
- Proven programming expertise in Python and experience working with 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 skills, and 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.
- Background or interest in drug discovery, biology, medicine, or ethics.
AI/ML Engineer, Responsible AI in London employer: GlaxoSmithKline
At GSK, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that prioritises ethical AI practices in healthcare. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work alongside leading experts in the field, all while contributing to meaningful advancements in patient care. Located in a vibrant environment, GSK offers a unique blend of professional development and a supportive community dedicated to making a positive impact on global health.
