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Generative in London is building toward biological superintelligence, combining frontier AI with biology to learn how human biology works and accelerate discovery. As a Senior Member of Technical Staff, you will shape the research direction and technical foundations of the founding team.
The role covers biological foundation models, deep learning and generative modelling. You will work with exceptional researchers, have access to significant compute and datasets, and a generous salary with
Generative is thrilled to be partnering with an ambitious stealth AI biology company on a retained basis as they build out their founding technical team in London.
The company is building towards what they describe as biological superintelligence — developing AI systems that can learn how human biology works, reason over complex biological data and accelerate scientific discovery.
The team is developing biological foundation models trained on large-scale, proprietary multimodal human datasets, alongside AI agents and reinforcement learning systems capable of generating hypotheses, designing experiments, using scientific tools and improving through feedback.
They have raised significant backing from leading Silicon Valley investors and are now scaling an exceptionally high-calibre technical team.
As a Senior Member of Technical Staff, you'll be one of the key technical contributors shaping the company's research direction and technical foundations.
Depending on your background, you could work across:
We're interested in exceptional ML researchers and research engineers with genuine depth in areas such as:
Experience working with biological data is highly valuable — including single-cell, transcriptomics, proteomics, imaging, EHR, clinical trials or molecular data.
However, exceptional researchers from adjacent frontier AI domains are equally relevant.
We're particularly interested in people who combine research judgement, engineering depth and high agency — individuals who enjoy working on open-ended problems without a predefined roadmap.
This is an opportunity to work at the intersection of frontier AI and biology, alongside a small, highly technical team tackling some of the fundamental challenges involved in computationally modelling human biology.