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.

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.

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

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.