Neuroscience Research Methodologist

Neuroscience Research Methodologist

This role, located in the Brain and Cognitive Sciences, will focus on open science practices and data management across molecular/cellular, systems, cognitive, and computational neuroscience. The position will involve working directly with individual labs to assess current data management practices, recommend solutions, and provide technical support for implementing data standards, FAIR-compliant workflows, and AI-assisted tools for data organization and curation.

Required:

PhD in Neuroscience or a related field; 3-5 years postdoctoral experience; demonstrated practical experience with data standards and repositories; sufficient computational proficiency to read, run, debug, and evaluate code from neuroscience labs (Python and/or MATLAB required; experience with shell scripting and version control expected); familiarity with AI/ML tools applicable to research workflows, including experience using LLMs for code generation, documentation, or data processing tasks;

strong communication skills, with a demonstrated ability to explain technical concepts to researchers with diverse computational and scientific backgrounds.

Preferred:
Experience across multiple neuroscience data modalities (e.g., fMRI, electrophysiology, single-cell genomics, calcium imaging, behavioral video); experience with containerization tools and/or workflow managers; practical experience deploying automated FAIR compliance tools, metadata extraction pipelines, or AI-assisted curation workflows; prior experience in a consulting or staff scientist capacity serving multiple research groups; familiarity with the BRAIN Initiative data infrastructure landscape (DANDI, BICAN, or related consortia).