Computational Biologist

Job Description

Job Title: Computational Biologist

Location: Cambridge (Hybrid)

Join an early-stage startup at the intersection of code and biology, where DNA is the design and synthesis is the platform.

Their mission is to accelerate the design and synthesis of DNA – enabling researchers, developers, and engineers to treat biology as a programmable system. They are building a platform to streamline sequence design, optimise gene constructs, and scale high-throughput synthesis.

The work sits at the intersection of machine learning, biological design, and molecular engineering.

About the Role

You’ll join a multidisciplinary team of scientists and engineers, contributing to the development of core algorithms, models, and tools that underpin technology.

What’s on offer

• £65,000 - £80,000 base salary DOE
• Access to cutting-edge tools, datasets, and experimental infrastructure
• Budget for conferences, training, and professional development
• A collaborative, science-driven culture with direct impact on product and platform direction

Your Responsibilities

• Develop and implement algorithms for sequence optimisation, codon usage, secondary structure prediction, and synthesis constraint resolution
• Build and maintain scalable pipelines for gene design and validation
• Analyse experimental results to refine computational models and improve design outcomes
• Collaborate closely with molecular biologists to integrate design and testing workflows
• Contribute to the development of internal tools, data infrastructure, and documentation

What you bring:

• Advanced degree (PhD or equivalent experience) in Computational Biology, Bioinformatics, Genomics, or related field
• Strong programming skills (Python) and experience with scientific computing libraries
• Solid understanding of molecular biology, gene expression systems, and synthetic construct design
• Familiarity with genome-scale data, biological sequence analysis, or protein-coding gene optimisation
• Experience working in cross-functional teams and navigating the fast pace of early-stage R&D

Desirable (not essential):

• Experience with ML/AI in biological design
• Exposure to wet-lab workflows or automation platforms
• Contributions to open-source bioinformatics or synthetic biology tools

Please apply with a copy of your CV - j.phillips@cubiqrecruitment.com