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.
Commitment to Diversity and Inclusion
GSK is an Equal Opportunity Employer. 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, military service, or any basis prohibited under federal, state, or local law.