2 of 2 Computational Biology Jobs in the City of London

Company Introduction CC Bio is an award-winning synthetic biology company, which has been a subsidiary of a clinical stage global parent company, Precisio Biotix Inc. since 2024. We are based in state-of-the-art facilities at the Imperial Translation and Innovation Hub (iHUB), West London. At CC Bio, we discover, engineer and develop potent and specific antimicrobial … enzymes for use as next generation therapeutics. By leveraging the combined power of systems biology, synthetic biology and microbiology, we are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us … as a world leader in enzyme design. Description of Your Role We are seeking a motivated computational biologist to join the CC Bio team in August 2025 for a 24-month prestigious grant funded project. This role will be within a growing team at our London-based laboratory. You will be an integral member of the experimental team, working More ❯

learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab assays. This company specializes in … developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has … global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computational biology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics, biology, or chemistry is More ❯