The Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine conducts a broad program of clinical, translational, and computational research in mental health. This position is based in the Center for Precision Mental Health.
The Department is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. The Research Data Analyst will support data management and analysis for research studies involving neuroimaging, clinical, and behavioral data.
This position will be a 1-year fixed term position at .80% FTE.
DESIRED QUALIFICATIONS:
Experience with programming and statistical analysis in a scientific research setting
Experience working with neuroimaging or other high-dimensional data
Familiarity with machine learning methods
Experience with shared or high-performance computing environments
Experience in neuroscience, psychiatry, or clinical research
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
Core Duties:
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
Analyze data processes in documentation.
Collaborate with faculty and research staff on data collection and analysis methods.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Communicate with government officials, grant agencies and industry representatives.
Minimum Education:
Bachelor's degree or a combination of education and relevant experience.
Minimum Experience:
Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills and Abilities:
Substantial experience with MS Office and analytical programs.
Strong writing and analytical skills.
Ability to prioritize workload.