Neuroscience Research Methodologist
- Job Number: 25720
- Functional Area: Research - Scientific
- Department: Brain & Cognitive Sciences
- School Area: Science
- Pay Range Minimum: $74,000
- Pay Range Maximum: $111,000
- Employment Type: Full-time Temporary (Hybrid)
- Employment Category: Exempt
- Visa Sponsorship Available: No
- Schedule:
- Pay Grade: No Grade
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Posting Description
NEUROSCIENCE RESEARCH METHODOLOGIST, Brain and Cognitive Sciences, will be responsible for open science practices and data management across all the areas of molecular/cellular, systems, cognitive, and computational neuroscience. This role will work directly with individual BCS 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.
The full description is available here: https://www.dropbox.com/scl/fi/3i07sztc00amb3ds1ahqq/STIRR-Research-Scientist-JD.pdf?rlkey=54jqx4h0awc7jvako6u9jmp44&st=snrwmcw0&dl=0
Job Requirements
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 fromneuroscience 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 processingtasks; strong communication skills, with a demonstrated ability to explain technical concepts to researchers with diverse computational and scientific backgrounds. PREFERRED: Experience across multipleneuroscience 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, metadataextraction 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).
5/15/2026