Lighting up microbiology. Unleashing factories from their constraints. Make an impact. Backed by Entrepreneur First.
About the role
Data-driven AMR prediction requires access to signals that reveal both the root causes of resistance and the downstream consequences that expose activated pathways. The senior ML scientist will co-build a foundation model mapping multiple modalities (whole genome sequencing, transcriptomics, and proteomics, spectroscopy data, multi-spectral images) to biologically grounded embeddings capturing the state of microorganisms.
More about this role
Spore.Bio is a deeptech startup founded in 2023 that is redefining microbiological quality control in pharmaceutical, food & beverage, and cosmetics manufacturing. Where Spore.Bio deploys biophotonic and deep-learning technology on factory floors, Spore.Labs takes Spore.Bio 's core technology into new territory: from AMR detection to microbiome research and beyond.
Spore.Labs is looking for a new talent ready to take real ownership, prototype solutions, build incrementally a robust ML pipeline to train a multimodal foundation model, benchmark SOTA approaches and grow alongside the department they help build.
Data-driven AMR prediction requires access to signals that reveal both the root causes of resistance and the downstream consequences that expose activated pathways. The senior ML scientist will co-build a foundation model mapping multiple modalities (whole genome sequencing, transcriptomics, and proteomics, spectroscopy data, multi-spectral images) to biologically grounded embeddings capturing the state of microorganisms.
Working closely with the Spore.Labs ML Coordinator, you will evaluate multimodal integration architectures and propose original approaches that incentivise...
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