Bioinformatician

Bioinformatician / Computational Biologist About Us

We’re a team of highly skilled community of 40+ scientists on a mission to create the world’s best guilt-free, sustainable meat. The meat we make is cultivated meat just like real meat, only made differently.

Our team develops in silico models to transform how we design and run omics-based screening strategies for the discovery of novel biological targets in our cell lines and to optimise media formulations. We’re looking for a skilled individual to apply the latest bioinformatics and biological data science methods, partnering with our Cell Sciences Team and the wider organisation to develop the next generation of stable cell lines with real-world impact.

As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. As an integral member of a cross-disciplinary, nimble team of biologists and computational scientists, you’ll lead the effort to build a functional genomics platform that guides target discovery and validation driving the development of Ivy Farm’s next-generation cell lines.

• Collaborate closely with the Cell Sciences Team to understand biological context and requirements
• Design large-scale experiments within multidisciplinary teams, using computational biology methods to drive the development of next-generation cell lines
• Lead the analysis of complex datasets from across our scientific disciplines, using advanced statistical and computational methods to turn them into actionable insight. Guide how results are interpreted and applied, keeping them grounded in experimental design and biological context, and feed them into strategic decisions.
• Drive improvements in computational pipeline architecture to meet evolving R&D demand while maintaining production-quality and reproducibility standards with your code.
• Provide documentation and guidance on the interpretation and application of results
• Communicate actionable insights from large-scale analytical projects to the wider organisation
• Work with other members of the Digital Biology Team to deliver a unified strategy
• Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards

• Strong background in bioinformatics, computational biology, or a related quantitative discipline
  : a postgraduate degree or equivalent industry experience, with a track record of applying computational methods to real biological problems
• Hands-on experience analysing large-scale, high-throughput multi-omics data (transcriptomics, proteomics, metabolomics): from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation
• Mechanistic modelling and AI/ML pipeline development experience
  : building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling approach fits the question
• Bioprocess modelling and culture media optimisation
  : experience modelling cell growth, metabolism, or productivity to inform media formulation and scale-up
• Proficiency in a scientific programming language (e.g. Python and/or R) and version control
  : writing clean, well-tested, maintainable code and collaborating through Git in a team setting
• Ability to translate biological questions into computational approaches
  : deliver results back into actionable biological insight scoping the right analysis with wet-lab colleagues and communicating findings in biological terms
• Strong communication skills and a genuinely collaborative, cross-disciplinary mindset
  : comfortable working at the interface of biology and computational modelling, and explaining complex results clearly to both technical and non-technical audiences

• Experience building or maintaining reproducible analysis pipelines
  : using workflow managers and environment/containerisation tools so that analyses are portable, auditable, and repeatable across the team
• Experience…