About Fractal NeuronsFractal Neurons is a biomedical AI and drug discovery company. We run a small, senior team at unusually high leverage, sustained by agentic software infrastructure that lets a handful of engineers operate at the scale of a much larger organisation. You will join early, own meaningful surface area from day one, and work directly with the CTO and a tight engineering group.
About the roleYou will sit at the interface between data science and engineering, turning research workflows into reliable pipelines and curated datasets. The work spans cheminformatics data, biological observation pipelines, and the tooling that makes our data reproducible and usable.
What you'll doCurate datasets and build and maintain our data lake and pipeline toolingBuild and extend ingestion pipelines (e.g. ChEMBL / PubChem hydration) and complete molecule-embedding workflowsBuild data pipelines for biological observation stations: metadata logging, manifest generation, and cloud-storage uploadDevelop human-in-the-loop labelling and review tooling for active-learning datasets (e.g. DeepLabCut workflows)Extend internal visualisation libraries and write validation / benchmark harnesses for ML pipelinesWhat we're looking for1–3 years of experience in data engineering or a closely related roleGood understanding of LLM principles and proven experience in implementing agentic workflowsStrong Python and experience building data pipelinesComfortable translating between research needs and production infrastructureBonus pointsCheminformatics (SMILES, RDKit), computer-vision datasets, or bioinformatics exposureHow we workOur engineering rests on three principles: cloud-agnostic architecture across GCP and AWS (Azure on the roadmap) to preserve pricing leverage and avoid lock-in
and an on-premises-first approach to compute. We value engineers who are comfortable operating across a wide scope, learning fast, and taking ownership in an early-stage environment where responsibilities evolve quickly.
What we offer & how to applyA high-ownership role in an early-stage biomedical AI company, direct mentorship from senior engineers, and exposure across the full stack of a modern drug-discovery platform. Compensation is indicative and negotiable depending on experience. To apply, send a short note and your CV or GitHub/portfolio to patricia@fractalneurons.com — tell us about something you have built and owned end to end.
A candidatura é gratuita. Entra ou cria uma conta em segundos.