Join an interdisciplinary team to design and manage cloud infrastructure, enhance development practices, and contribute to technical decisions driving drug discovery innovation.

As a Senior DMPK Lead, develop DMPK strategies for drug discovery, integrate AI with pharmacology, mentor team members, and collaborate globally.

The Senior DMPK Lead will develop DMPK strategies, collaborate with interdisciplinary teams, mentor juniors, and optimize AI models for drug discovery.

The Workplace Partner manages daily operations in the London office, leading office moves, developing scalable processes, and collaborating with teams globally to ensure smooth workplace operations.

As a Technical Talent Partner, you'll drive talent acquisition strategies, nurture diverse teams, and collaborate with leaders to enhance the recruitment process for AI and drug discovery.

Lead the development of quantitative pharmacology strategies for drug discovery projects, leveraging AI models for biologics and small molecules, while mentoring junior team members.

As a Machine Learning Performance Engineer, you will optimize GPU performance, design distributed training strategies, and collaborate with researchers to enhance AI models for drug discovery.

Lead the development of quantitative pharmacology strategies for drug discovery using AI. Collaborate across teams to resolve PKPD challenges and oversee data generation from external vendors.

Lead the foundational infrastructure teams focused on training and serving large models in biotech, emphasizing operational excellence and strategic execution.

Lead a team to design and develop scalable machine learning systems for drug discovery, mentoring engineers and ensuring software excellence.

Join a team to develop and evaluate large-scale machine learning models for drug discovery, collaborating with scientists and engineers.