Deep Learning Scientist — OMICs & AMR at Well-funded deep tech startup

You will lead the development of computational frameworks integrating multi-OMICs data with optical measurements to combat antimicrobial resistance. Focused on proteomics and genomics, you will design deep learning models to accelerate diagnostics from days to minutes. This role bridges the gap between fundamental research and real-world industrial and clinical applications.

Well-funded deep tech startup

• Develop and implement deep learning models such as transformers and graph neural networks for multi-OMICs integration.
• Design processing pipelines for mass spectrometry-based proteomics data including feature extraction and normalization.
• Collaborate with cross-functional teams of microbiologists and physicists to ensure biological interpretability of AI models.

• Strong expertise in deep learning architectures including self-supervised models and graph neural networks.
• Extensive experience processing and integrating proteomics data and mass spectrometry datasets.
• Proficiency in Python and PyTorch with a commitment to reproducible coding practices and scientific rigor.

• Contribute to a high-impact mission addressing global health challenges like antimicrobial resistance using cutting-edge biophotonics.
• Work within a fundamental research division supported by one of the world's leading global AI science initiatives.
• Join an innovative, fast-growing startup backed by top-tier VCs that offers high autonomy and flexible work arrangements.