
Novogaia speeds up the discovery of fungal natural products to enable new medicines. We use metabologenomics and machine learning to map biosynthetic pathways and prioritize drug-like compounds. The…

Novogaia speeds up the discovery of fungal natural products to enable new medicines. We use metabologenomics and machine learning to map biosynthetic pathways and prioritize drug-like compounds. The…
Founded: 2024
Headquarters: London, England, United Kingdom
Focus: Discovering drug-like natural products from fungi using metabologenomics and machine learning
Stage / Size: Early-stage; reported headcount 1–10
Natural product discovery for therapeutic drug development
2024
Biotechnology Research
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Company description
We are building computational systems to discover and develop small molecule medicines from fungi. Nearly half of all oral medicines originate from natural molecules, yet discovery from nature has historically been slow. Advances in mass spectrometry and computation now make it possible to systematically explore nature’s chemical diversity at scale.
We recently introduced Gaia-01, a 1B-parameter foundation model for molecular structure prediction from mass spectrometry that outperforms current state-of-the-art systems on the MassSpecGym benchmark. We are now developing the next generation of this model.
Role description
We are looking for a founding machine learning scientist to design and advance models that infer molecular structure and properties directly from mass spectrometry data.
You will take ownership of the next iteration of our molecular foundation model (Gaia-02), extending spectrum-to-structure prediction into broader molecular reasoning and downstream applications. This role sits at the intersection of machine learning, chemistry, and metabolomics, and involves close collaboration with computational biology and experimental teams.
This is a hands-on, fast-paced role in an early-stage company with significant autonomy and technical responsibility.
What you’ll own
Core experience
Nice-to-haves
We value agency, technical depth, and learning velocity more than years of experience.
If you find this exciting and think you'd be a great fit, we’d love to hear from you. We can go from first conversation to offer decision in days.
Reach out at tess@novogaia.bio.
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