The GSK.ai Fellowship Programme

 

The GSK.ai Fellowship is a fantastic two-year development programme, based in the heart of London’s Knowledge Quarter, for early-career machine learning researchers wishing to apply their talents to help improve the health of patients.

Medicines research and development is a data-driven endeavour and requires sophisticated AI and machine learning approaches to unlock scientific insights and drive decision-making. Pharmaceutical data present many challenges to off-the-shelf machine learning methods. With these challenges come opportunities for GSK.ai Fellows to engage in state-of-the-art machine learning research driven by GSK problems.

During their tenure, fellows will publish their methods and code, present at key machine learning conferences and translate their research into products that GSK scientists can use to discover and develop transformational medicines that help millions of patients. In return, we provide access to our world-leading data and compute infrastructure, our laboratories, and our experts within an exciting and productive environment where fellows can learn about the pharmaceutical industry, hone their software engineering skills and gain an understanding of what it takes to develop and deploy machine learning in a global organisation like GSK.

The GSK.ai Fellowship Programme is designed for early-careers researchers who are looking for the chance to engage in machine learning research applied to key challenges facing the pharmaceutical industry.

 

The GSK.ai / Stanford Ethics Fellowship

 

The Stanford Center for Biomedical Ethics (SCBE) and GSK.ai announce two to three post-doctoral fellowship positions focused on exploring the ethical challenges associated with using artificial intelligence and machine learning (AI/ML) to discover transformational medicines and to deliver improved clinical outcomes.

As part of GSK’s commitment to continuously raising ethical standards, both for ourselves and our industry, we have collaborated with the Stanford Center for Biomedical Ethics (SCBE) to fund several postdoctoral fellowships at the intersection of bioethics and the use of AI/ML in drug discovery and clinical practice.

The GSK AI/ML Stanford fellows have full academic independence in their research, ensuring that they produce thought leadership and hold GSK and our industry to the most rigorous standards. Fellows are drawn from a range of relevant disciplines – including AI/ML, medicine and philosophy – creating an interdisciplinary community to solve the complex ethical and policy issues arising from the use of AI/ML in the pharmaceutical industry.

Under the direction of Professors Russ Altman and David Magus, the SCBE and its faculty is widely recognized for its leadership across the field of bioethics – including NIH recognition as a Centre for Excellence in Ethical, Legal and Social Issues (ELSI) in Genetics and Genomics. 

Open cookie banner
Hide cookie banner