Harmonize your Wet and Dry Lab. Backed by Lux.
About the role
We’re seeking an AI Biologist to join our Microscopy team, pushing what AI can achieve in biological imaging. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD in cell biology, bioimage analysis, pathology, or a related field, or an MD with pathology training
- Senior, hands-on imaging experience: you have looked at thousands of samples and know what normal and abnormal look like
- Direct experience with image segmentation tools such as CellProfiler, Cellpose, StarDist, QuPath, ilastik, napari, or Fiji
- Deep expertise in at least one area (bioimage analysis, cell biology, or histopathology) and working fluency across the others
- Strong command of experimental design, image quantification, and statistics
- AI-ready from day one: daily use of Claude, Cursor, or similar agents, with the judgment to spot where model reasoning is technically correct but scientifically unsound
More about this role
Latch builds rigorous scientific benchmarks ( benchmarks.bio ) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field.
We’re seeking an AI Biologist to join our Microscopy team, pushing what AI can achieve in biological imaging.
About the Role. You will be the scientific authority on ground truth, testing whether agents can reason like an expert microscopist. AI agents today struggle to interrogate raw images, separate real biology from artifacts in acquisition, staining, and segmentation, and reach conclusions an expert would stand behind. Experts themselves disagree on roughly 1 in 6 images, so knowing where the evidence ends is part of the work. You will work with software engineers and scientists to build the tasks and datasets behind our benchmarks across cell biology, tissue, and disease. Your judgment will set the standard agent outputs are held to, including:
Define what expert reasoning looks like for an imaging question, and write gold-standard answers with the rationale an experienced microscopist or pathologist would defend
Design...
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