Research Assistant - Neuroscience Research

About This Role

Supporting ongoing research projects, this part-time and fully remote Research Assistant role focuses on computational and statistical work, including processing various datasets. The position is ideal for a candidate with strong data analysis skills who can contribute to publications and reports within the Opendak Lab.

Responsibilities

• Perform statistical analyses on behavioral, electrophysiological, and imaging datasets under direction of the PI
• Process and clean raw data; maintain organized, well-documented data files and analysis pipelines
• Develop figures, graphs, and visualizations of project results for manuscripts, presentations, and grants
• Contribute to preparation of publications, grant reports, and conference presentations based on Opendak Lab research
• Organize, clean, and analyze data in Microsoft Excel; maintain well-structured spreadsheets and analysis files across projects
• Oversee undergraduate data analysts in analysis theory and implementation as needed
• Participate in remote lab meetings and check-ins on a regular schedule to communicate progress and coordinate with team members
• Enhance professional growth and development through educational programs, workshops, and seminars

Requirements

• Bachelor's degree in a science-related field (e.g., neuroscience, biology, psychology, computer science, biomedical engineering, mathematics, or statistics)
• Proficiency in Microsoft Excel, including experience with data organization, formula-based analysis, pivot tables, and chart generation
• Solid background in data management and organization; ability to maintain clear, well-documented files and records
• Proficient with Microsoft Office (Excel, PowerPoint, Word) for reporting and presentation purposes

Nice to have:

• Prior research experience involving data analysis is strongly preferred. Candidates with demonstrated Excel proficiency and coursework in statistics will be considered
• Familiarity with behavioral data scoring tools (e.g., Ethovision, BORIS) and/or electrophysiological analysis software (e.g., Spike2)
• Prior experience with additional data tools (e.g., SPSS, GraphPad Prism) preferred