Research Assistant - Neuroscience Research
Kennedy Krieger Institute
About the role
Overview:
The Research Assistant I (Part-Time, Remote) in the Opendak Lab will provide dedicated data analysis support for ongoing research projects. This role is fully remote and focused on computational and statistical work, including processing behavioral, electrophysiological, and imaging datasets, contributing to publications and reports, and supporting the analytical needs of the lab.
Responsibilities:
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Perform statistical analyses on behavioral, electrophysiological, and imaging datasets under direction of the PI.
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Process and clean raw data; maintain organized, well-documented data files and analysis pipelines.
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Develop figures, graphs, and visualizations of project results for manuscripts, presentations, and grants.
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Contribute to preparation of publications, grant reports, and conference presentations based on Opendak Lab research.
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Organize, clean, and analyze data in Microsoft Excel; maintain well-structured spreadsheets and analysis files across projects.
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Oversee undergraduate data analysts in analysis theory and implementation as needed.
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Participate in remote lab meetings and check-ins on a regular schedule to communicate progress and coordinate with team members.
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Enhance professional growth and development through educational programs, workshops, and seminars.
Qualifications:
- Proficiency in Microsoft Excel, including experience with data organization, formula-based analysis, pivot tables, and chart generation.
- Familiarity with behavioral data scoring tools (e.g., Ethovision, BORIS) and/or electrophysiological analysis software (e.g., Spike2) is a plus.
- 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.
- Prior experience with additional data tools (e.g., SPSS, GraphPad Prism) preferred.
EDUCATION:
- Bachelor's degree in a science-related field (e.g., neuroscience, biology, psychology, computer science, biomedical engineering, mathematics, or statistics).
EXPERIENCE:
- Prior research experience involving data analysis is strongly preferred. Candidates with demonstrated Excel proficiency and coursework in statistics will be considered.
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