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.
About the Role
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.
What you’ll do
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
What We’re Looking For
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
Nice to Have
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 executing computational workflows in a cloud computing environment: running scalable analyses on platforms such as AWS, GCP, or Azure, with an eye to cost, performance, and reproducibility
Genome scale metabolic modelling experience: reconstructing, curating, and simulating GeMs using cutting edge and novel constraint-based methods, and integrating omics data to build context-specific models that inform cell line engineering and media design
Pathway and signalling network modelling: inferring pathway activity from omics data and building mechanistic or logical models of signalling networks to predict downstream consequences of a knockout, knockdown, or media change
AI/ML experience: applying machine learning to high-dimensional biological data, from feature selection and predictive modelling to interpreting what a model is actually telling you about the underlying biology
Use of agentic AI for improved productivity: using LLM-based coding assistants and agentic tools to accelerate routine analysis, prototyping, and documentation, with sound judgement about where they help and where they need checking
App building experience to better explain and display results to internal stakeholders: developing lightweight interactive tools or dashboards that let colleagues explore results for themselves rather than waiting on a static report
Why Join Ivy Farm
You'll be part of a mission-driven team working at the forefront of cultivated meat technology, helping build a more sustainable food system. This is a genuine opportunity to grow your skills in a cutting-edge manufacturing environment as we scale toward commercial production.
Why Join Us?
At Ivy Farm, we value innovation, collaboration, and sustainability
You can expect a dynamic, inclusive environment
Opportunities for career growth and continuous learning
Your Impact
By joining us, you’ll help revolutionise the food industry, creating sustainable, ethical meat and making a real difference to the planet with food security.
Practical details:
Competitive salary commensurate to experience
33 days leave (incs 8 public bank holidays)
Company pension contribution 5%
Private health care
Bonus
Shares
EAP
Oodles of coffee, tea and snacks
Company events throughout the year
Fabulous super cool office environment, we think that, but we’re biased :)
🌱 Ivy Farm Technologies is an equal opportunities employer that believes and welcomes creating a workplace where everyone feels included and valued, no matter who they are.
