We are looking for a lab based synthetic / medicinal chemist at Senior Scientist level. As a key part of our Chemical Sciences team, you’ll make important contributions to our Drug Discovery programmes from Hit ID through to Lead Optimisation and Candidate delivery, utilising AI to drive down cycle times and identify the best compounds for progression into the clinic.

Based at the Babraham Research Campus in Cambridge (UK), the successful Candidate will be working within a lab-based team supporting small molecule drug discovery. Working with cheminformaticians, computational chemists, AI modellers and drug discovery colleagues you’ll devise creative ways to reimagine the way medicines are discovered.

• With a strong synthetic and/or medicinal chemistry background you will work as a key contributor within cross functional project teams to identify high quality drug molecules to advance to clinical studies.
• You will work closely with experts across biology, pharmacology & DMPK as well as machine learning, engineering, cheminformatics & bioinformatics technologists.
• A key aspect of the role will be the efficient design and synthesis of novel molecules making use of modern practical methods and AI tools, and the analysis of biological data coming from the testing of these molecules.
• We are constantly looking for new ways to improve the drug discovery process so you will have a proactive and positive problem-solving mindset allowing you to contribute strategically and implement ideas to drive new ideas forward.
• Your safety is very important to us, so you’ll be expected to follow our safety standards in the laboratory at all times

• A PhD or equivalent experience in synthetic organic chemistry, or very closely related area.
• A broad knowledge of synthetic organic chemistry and strong practical laboratory synthesis skills.
• A good awareness of current and emerging state of the art technologies and strategies within synthetic chemistry as applied to drug discovery. Experience of using modern synthesis, purification & analytical equipment.
• You’ll have a strong ability to critically analyse and act upon complex datasets across e.g. synthetic chemistry, biological and DMPK data, AI predictions and many other areas.

• Examples of using novel data analyses or AI approaches in compound design or progression would be an advantage.