AI Neuroscientist
New
L
LatchNeuroscience AI
Remote (anywhere), hybrid, or onsite in SFContract
SalaryAt least 120,000 USD per year
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Job Details
Requirements
- PhD or MD/PhD in neuroscience or a closely related field.
- Hands-on neuroscience research experience, first-hand data analysis, and a publication record.
- Experience analyzing raw data in at least two modalities: electrophysiology, optical imaging, EEG/sEEG, neuroimaging, single-cell or spatial omics, neuropathology, or quantitative behavior.
- Deep expertise in at least one area: systems/circuit, cellular/molecular, clinical/translational, or computational neuroscience.
- Working fluency across neuroscience system levels.
- Strong command of experimental design and statistics.
- Proficiency in AI agent use and judgment to identify scientifically unsound reasoning.
- Practical understanding of model systems, including iPSC neurons, organoids, rodents, NHP, or human cohorts.
- Ability to calibrate confidence and communicate uncertainty.
- Familiarity with Allen Brain Cell Atlas/BICAN, DANDI/NWB, OpenNeuro/BIDS, IBL, ADNI, PPMI, UK Biobank, or ClinVar/gnomAD is a plus.
Responsibilities
- Define expert reasoning for research questions and R&D decisions, and write gold-standard answers with supporting rationale.
- Design realistic research scenarios spanning hypothesis and target selection, model-system choice, experimental design, data processing, and inference.
- Curate multimodal neuroscience data bundles, including electrophysiology, imaging, omics, histopathology, behavior, and biofluid markers.
- Pair basic-science and disease tasks to test whether understanding of normal function transfers to pathology.
- Work with software engineers to turn scientific judgment into new workflows.
- Evaluate agents’ choices of model system and unit of analysis, including whether findings translate to human disease.
- Adjudicate contested claims in the literature and identify what evidence or experiments would resolve them.
- Interrogate agent reasoning, identify failed steps, and explain what an expert would do instead.
- Score agent confidence, rewarding explicit uncertainty when evidence is incomplete.
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