Description
Purpose:Data processing and analysis of biological signals (e.g., psychophysiological, neural) collected from human subject research, including biosignals from laboratory and/or ambulatory passive sensing. Integration of signals from multiple modalities for processing and analysis (e.g., biological, behavioral, self-report, clinical). Coordination with other investigators or staff on data collection protocols, including assisting with oversight of quality control of biosignal data acquisition.
- Process biosignal data (e.g., psychophysiological, neural) collected from laboratory or ambulatory passive sensing research protocols. Specifically, this position will involve managing the processing of psychophysiological data, including artifact correction and analysis of cardiovascular data (electrocardiogram).
- Accurately compile data from a variety of data sources into databases for analysis, including merging biological data streams (i.e., cardiovascular psychophysiology) with other psychological, clinical, behavioral and/or self-report variables.
- Coordinate with other investigators or staff on data collection protocols, including assisting with oversight of quality control of data acquisition.
- Assist with general data management tasks, such as data transfers or data backups.
- Keep accurate logs of status of data transfers, processing and analysis.
- Assist with NIH data sharing requirements, including converting data into the proper formats and managing uploads.
Qualifications
- Bachelors Degree in psychology, biology, neuroscience, computer science, data science, bioinformatics or related field.
- Familiarity with computers and common software packages (e.g., excel, Matlab, EPrime).
- Working knowledge of scripting or syntax creation for data processing or analysis.
- Experience working with biological, neural, psychological, behavioral, or passive sensing data.
- Working knowledge of research methodology, including study design and data acquisition.
- Experience with signal processing or time series analysis.
- Prior related work experience in a research setting or with data collected from a research protocol.
- Act 34
Total Rewards
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Our Values
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