Senior Research Investigator (Biologics Computational Science), London

Your Impact

We’re seeking a Senior Research Investigator to join our Computational Sciences team, specialising in Biologics. You will contribute to the design of novel large molecule therapeutics, harnessing the transformative power of our cutting-edge AI drug design engine. This role requires a unique blend of scientific expertise and the intellectual curiosity to explore uncharted territory in therapeutic design.

You’ll play a pivotal role in our drug design projects, working with key internal and external stakeholders to drive the progress of complex projects in early discovery through to candidate selection and, ultimately, advancing candidates towards the clinic. This is an extraordinary opportunity to collaborate closely with Isomorphic Labs’ world-leading AI, ML, and drug discovery experts, developing imaginative new approaches, based on generative AI, to design and optimise protein-based therapeutics.

 

What You Will Do

• Identify opportunities for computational modelling to enhance biologics discovery programs, including developing new methods. 
• Collaborate with machine learning and biologics discovery teams to develop computational and machine learning methods for predicting biologics properties from sequence, including affinity, developability and immunogenicity.
• Apply computational methods to discover novel therapeutics. 
• Benchmark existing computational methods and develop baseline models. 
• Analyse data from lab experiments to inform decisions for biologics discovery programs.
• Determine what data to generate to improve machine learning models. Implement model-aware prioritization to ensure we are collecting the highest-value data points, laying the foundations for active learning.
• Develop methods for predicting functional properties of biologics, expressed in terms of biophysical constraints.

Skills and Qualifications

Essential

• Experience using computational and machine learning methods to predict biologics properties.
• Experience developing computational methods to predict biologics properties from sequence, such as affinity, developability or immunogenicity.
• PhD or equivalent in computer science, computational biology, structural biology, biochemistry or related field.
• Proficient programming skills with a strong emphasis on Python.
• Experience preparing datasets, benchmarking models, and working with structure-based metrics.
• Comfortable learning new ways of working in fast changing environments

Nice to Have

• Industry experience in a pharma or biotech environment.
• Experience working in multidisciplinary large molecule drug discovery teams.
• Experience with structural modelling of biologics, including 3D protein structure tools.
• Experience using generative-design methods for biologics.
• Experience working with complex biologics modalities, such as antibody-drug conjugates (ADC’s) or multispecifics.