Senior Bioinformatics Scientist

About Us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organisations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.

The Role

Our EDEN models, trained on the world's largest ethically-sourced biological dataset, have already designed novel antibiotics validated against priority pathogens in the lab, and prioritised vaccine targets faster than comparable genomic foundation models. We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what "good data" means and validating through evidence the success of our foundational models.

What you'll do:

• Start from a modelling goal and work out the data behind it: what to assemble or curate, how to define ground truth and label quality, and how to build biologically sound splits homology- and structure-aware, not naive random so that what a model learns holds up.
• Design the evaluations that prove it: the metrics, baselines, and failure analysis that show a model is genuinely capable rather than exploiting leakage or a shortcut in the data.
• Fine tune and rigorously evaluate genomic or protein models, or work hand in hand with those who do, so that your dataset decisions are grounded in how they actually move model performance.
• Reason about biological meaning from foundational, evolutionary-scale data through to human therapeutic context: target validation evidence, indication mapping, peptide-level questions.
• Run and develop the genomic and protein analyses that depend on sequence analysis, alignment, annotation, comparative and evolutionary approaches with the scepticism to spot when a result is an artefact of the method rather than the biology.
• Work reproducibly, so your datasets and analyses are something the team can rerun and build on rather than a result that only ran once on your machine using whatever tooling fits, from workflow managers to containers, without needing to be a platform engineer.
• Hold the line on data integrity, treating provenance and lineage as first-class parts of the dataset because a model is only as trustworthy as the consented, traceable data underneath it.

About You

You have demonstrated experience curating data specifically for life science AI, so you understand what separates a dataset that trains a good model from one that quietly poisons it. That comes from having been close to the models themselves. You've trained, fine tuned, or run inference on them enough to know what a dataset looks like from the other side. Your foundations are strong. You have core bioinformatics, sequence informatics and the standard genomic and protein toolchain, along with the judgment to know where those tools quietly break down, backed by sound software practice in reproducibility, version control, and pipelines.

What we offer in return:

• Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.
• Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other.
• High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities.
• Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions.

We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.