Neuroscience Research Scientist, Brain Data & Modeling

Stanford University School of Medicine; Palo Alto (CA); On-site; USD 78,000 - 90,000; Full time

Job summary

Stanford University School of Medicine's Ophthalmology Department seeks a Research Scientist in Neuroscience to lead investigations using large neural datasets and computational models. You will work with neuroscientists, ML researchers, and engineers on flagship projects, translating data and models into rigorous studies.

The role emphasizes team-based science, cross-disciplinary collaboration, and translating findings into publications and conference presentations.

Qualifications

• Ph.D. in Neuroscience, Computational Neuroscience, Biology, Physics, Computer Science, or a related field.
• Two or more years of research experience beyond the Ph.D. in systems, computational, or experimental neuroscience.
• Deep understanding of visual neuroscience and the relevant primary literature.
• Experience with physiological or behavioral experiments, hands-on or via collaboration.
• Experience analyzing large-scale neural or behavioral datasets.
• Fluency in Python and its scientific stack, and ML methods with PyTorch.
• Strong publication record demonstrating research depth and completion of projects.
• Ability to formulate questions independently and carry projects to publication.
• Enthusiasm for team-based science and collaboration across disciplines.

Responsibilities

• Generate and prioritize scientific questions about neural representation and computation for large-scale data.
• Contribute to a small number of flagship projects as part of an interdisciplinary team.
• Design and run in-silico experiments on brain foundation models to explore model behavior.
• Analyze large-scale neural activity and behavioral data using statistical and ML methods.
• Work with experimental teams to design validation experiments and scalable analyses.
• Define analysis and tooling requirements with engineering teams for large-scale work.
• Collaborate with agentic AI tools to automate analyses and scale hypothesis evaluation.
• Interpret findings in the context of neural computation literature and publish results.

Skills

Python

PyTorch

Machine learning

Education

Ph.D. in Neuroscience, Computational Neuroscience, Biology, Physics, Computer Science, or a related field

Job description

Stanford University School of Medicine's Ophthalmology Department seeks a Research Scientist in Neuroscience to lead investigations using large neural datasets and computational models. You will work with neuroscientists, ML researchers, and engineers on flagship projects, translating data and models into rigorous studies.

The role emphasizes team-based science, cross-disciplinary collaboration, and translating findings into publications and conference presentations.