AI Biologist - Microscopy
New
L
LatchBiological imaging
Remote (anywhere), hybrid, or onsite in SFContractMiddle
Salary120,000 - 180,000 USD per year
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Job Details
- Required Skills
- Python
Requirements
- PhD in cell biology, bioimage analysis, pathology, or a related field, or an MD with pathology training.
- Senior, hands-on imaging experience with thousands of samples.
- Direct experience with image segmentation tools such as CellProfiler, Cellpose, StarDist, QuPath, ilastik, napari, or Fiji.
- Deep expertise in at least one of bioimage analysis, cell biology, or histopathology, and working fluency across the others.
- Strong command of experimental design, image quantification, and statistics.
- Daily use of Claude, Cursor, or similar AI agents, with the judgment to identify scientifically unsound model reasoning.
- Ability to calibrate confidence and communicate uncertainty rather than defaulting to binary calls.
- Electron microscopy, pathology, or pharmacology experience is a bonus.
- Familiarity with resources such as the Image Data Resource, BioImage Archive, Human Protein Atlas, Cell Painting Gallery, or TCGA whole-slide images is a bonus.
Responsibilities
- Define expert reasoning for imaging questions and write gold-standard answers with supporting rationale.
- Design realistic scenarios across sample preparation, staining, acquisition, preprocessing, segmentation, quantification, and interpretation.
- Curate image datasets across immunofluorescence, confocal and live-cell imaging, electron microscopy, histology and histopathology, and high-content screening.
- Build Python analysis pipelines, including deep-learning segmentation, that produce verifiable ground truth.
- Partner with software engineers to turn scientific judgment into new workflows.
- Test whether agents distinguish biological signal from acquisition, staining, or segmentation artifacts.
- Adjudicate ambiguous images and determine what additional stain, image, or experiment would resolve a question.
- Evaluate whether agents select suitable imaging modalities, resolution, and units of analysis.
- Interrogate agent reasoning and identify where conclusions or steps fail.
- Score agent confidence, rewarding explicit uncertainty on ambiguous images.
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