Team Leader, Chemistry (Induced Proximity), London, Lausanne

About the Exploratory Sciences Team

Join our expanding Exploratory Sciences team, focused on tackling proteins which are critical for disease biology, but have been traditionally considered intractable. We are a small, multidisciplinary team within the Drug Design and Medical Research function at Isomorphic Labs. We work at the interface of machine learning, chemical biology and drug discovery to apply our platform to some of the toughest problems in drug discovery, and we collaborate closely with multiple teams across Isomorphic Labs. We have a strong growth mindset and prioritise continued development and learning as we hope to build the next generation of drug discovery scientists.

We are expanding and investing in our multidisciplinary Induced Proximity team within Exploratory Sciences, looking to recruit a number of talented scientists to drive projects towards the clinic. This role is for a Team Leader, Chemistry specialising in induced proximity.

Your impact

As a member of the Induced Proximity team, you will deliver the development and application of a state-of-the-art induced proximity design platform. This will involve applying our platform in novel ways, and critically driving portfolio projects towards the clinic. You will need to design and execute on bold strategies to tackle problems that are currently considered impossible. Working alongside world leading AI/ML and Drug Design Platform teams, you will deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to unsolved drug design problems.

Ready to elevate your scientific career? Isomorphic Labs offers a unique environment to tackle stimulating challenges, pushing your boundaries and accelerating your personal and professional growth. If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will challenge you with novel problems and provide an amazing opportunity for professional growth and development.

What you will do

• Apply your knowledge of cutting-edge molecular glue design and synthesis to tackle long standing challenges in drug discovery.
• Utilise internal AI/ML models to solve challenging drug discovery problems.
• Collaborate in multidisciplinary teams to support data-driven delivery of high quality scientific solutions. This will require understanding the fundamentals of diverse disciplines including ML, Biology, Chemistry and DMPK, and communicating effectively with experts in those fields.
• Manage members of the growing team and CRO resource, mentoring and supporting their development.
• Represent the company externally, interacting with existing and prospective collaborators and contract research organisations (CROs).
• Prepare detailed scientific proposals and reports to support new and ongoing programs.
• Embrace and champion our culture of inclusion and continuous professional development.

Skills and qualifications

Essential:

• PhD in Chemistry, or a related technical field, or equivalent industrial experience.
• 5+ years’ professional experience in a Chemistry role, either operating within a biotech or pharma setting, or within a Post Doc position.
• Practical experience in the design and synthesis of chemical inducers of proximity/molecular glues, ideally applying these skills to active drug discovery projects.
• Broad knowledge of current chemical biology techniques.
• Experience of leading a high-performing team, mentoring and empowering people to thrive in their roles.
• Experience of coding in Python, or a willingness to learn in-role.
• Genuine passion and enthusiasm for applying AI/ML to drug design and how this can transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment.
• Track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

Nice to have:

• Experience working with or managing activities at contract research organisations (CROs).
• Experience of contributing to structure-based drug design (SBDD) problems.
• Experience of applying ML methods to Drug Discovery problems.
• Track record of authorship of relevant scientific manuscripts.