The Role
Astex Pharmaceuticals is a world leader in innovative drug discovery and development. The company has successfully applied its proprietary Fragment-Based Drug Discovery platform to generate multiple new drug candidates that are progressing in clinical development. Successful collaborations have led to three launched oncology drugs (Kisqali® partnered with Novartis, Balversa® partnered with Janssen and Truqap™ partnered with AstraZeneca). Astex continues to grow and focuses on Neurological Disorders and Oncology.
Astex Pharmaceuticals is making a strategic investment in advanced molecular simulation and free energy methods as a key component of our structure-based drug discovery platform. We are now recruiting computational chemists, both permanent and fixed-term, at seniorities ranging from experienced research scientist to Director level, to help shape, develop and apply these capabilities across our internal discovery portfolio.
Astex offers a distinctive environment for computational chemists: world-class structure-based drug discovery, close integration with medicinal chemistry and structural biology, frequent access to high-quality protein–ligand structures from X-ray crystallography and cryo-EM, and a proprietary historical dataset of more than 20,000 structures across diverse target classes. This creates an unusually rich setting for both method development and prospective application on active drug discovery programmes.Our focus on scientific rigour and impact for patients has led to numerous clinical candidates and 3 marketed drugs.
Successful candidates will contribute to the development and application of Astex’s internal simulation platform, with a particular focus on free energy and related molecular simulation approaches for prediction of affinity, including combining such methods with ML. Depending on seniority, responsibilities may include applying simulation methods to guide compound design, developing robust workflows, validating novel methods against high-quality experimental datasets, influencing project strategy, and providing scientific leadership across multidisciplinary teams.
This is an opportunity to join Astex at a time of deliberate growth in simulation science, helping to define how advanced computational methods are used to drive the next generation of structure-based drug discovery.
Skills and Experience
- PhD in Computational Chemistry or a related field
- Ability to work collaboratively in multidisciplinary project teams
- Excellent communication skills, in particular the ability to communicate effectively with scientists from different disciplines
- Several years’ experience developing and/or applying modern simulation methods (in particular FEP/TI or similar) in a drug discovery context
- Strong programming / scripting skills, ideally in Python, with an interest in developing robust, scalable workflows
- 10+ years of experience in industrial drug discovery and a proven track record of successful application / development of computational approaches
- Evidence of scientific leadership and strategic influence
Why Astex
We offer excellent training and career development opportunities as well as highly competitive salary and benefits package including hybrid working options to promote a flexible and inclusive work environment.
At Astex we embrace diversity and equality of opportunity. We are committed to building an inclusive and diverse Company representing all backgrounds, harnessing industry-leading scientific innovation and behaviours.
Astex is situated 2.5 miles from Cambridge City centre on the Cambridge Science Park. The Park has onsite sports facilities and excellent transport links to London.
The closing date for applications is midnight on 30th September 2026
Computational Chemist in Cambridge employer: Astex Pharmaceuticals
Astex Pharmaceuticals is an exceptional employer, offering a dynamic work environment in the heart of Cambridge, UK, where innovation thrives. Employees benefit from a collaborative culture that encourages professional growth through cross-border partnerships and access to extensive datasets, while also contributing to impactful research publications. With a focus on cutting-edge technology and AI methods, this role provides a unique opportunity to be at the forefront of scientific advancement in cryo-EM analysis.
