Introduction
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
Your Role and Responsibilities
IBM Research Europe (UK) is seeking outstanding students for a summer internship. Our lab focuses on using cutting-edge artificial intelligence (AI) and machine learning (ML) to advance scientific discovery processes in industries that have applications in urgent societal impact areas such as healthcare and life sciences.
Want more jobs like this?
Get jobs delivered to your inbox every week.
The IBM Research team is harnessing the potential of biomedical foundation models (BMFMs) to tap into diverse multi-modal data sources, including human genomics, transcriptomics, proteomics, small molecules, and biologics. By leveraging these rich datasets, researchers aim to drive and enhance critical tasks throughout the drug discovery process, such as identifying novel drug targets, understanding disease mechanisms, designing de-novo small molecules, and developing new biologics.
During the internship you will work in small groups under the mentorship of experienced researchers, addressing problems at the forefront of artificial intelligence for healthcare and life sciences. Areas of research include, but not limited to, new architectures and algorithms for training, fine-tuning, and applying biomedical foundation models to multi-modal life sciences data (e.g., multi-omics) with the aim of accelerate drug discovery tasks (e.g., predicting patient drug response, identifying new drug targets, predicting treatment outcome). Job responsibilities may include identifying and defining research challenges, developing prototype solutions, designing experimental setups to test hypotheses, refining solutions, and communicating findings through patent applications and publications in top-tier conferences.
You should enclose a CV and include a one-page cover letter in your application. Internships are for three months and are based at our Daresbury (Warrington) and Hursley (Winchester) facilities.
Required Technical and Professional Expertise
- Candidates must be enrolled in a Master's or a PhD program in computer science, mathematics, statistics, computational genomics, bioinformatics or related disciplines.
- Strong programming skills in one or more widely used languages such as Python.
- Demonstrated experience in solving analytical problems using rigorous and quantitative approaches.
- Demonstrated experience in developing, training, and testing machine learning and AI models, such as deep neural networks.
- Demonstrated knowledge and experience in the analysis of omics data, especially human genomics and transcriptomics.
Preferred Technical and Professional Expertise
- Experience with machine learning tools and frameworks such as PyTorch.
- Demonstrated experience in developing, training, and testing generative models, such as LLMs or multi-modal foundation models.
- Proven expertise in designing, training, and deploying AI solutions that leverage complex healthcare and life sciences data to accelerate drug discovery and inform personalized medicine.