Stanford University School of Medicine
Stanford, CA
Research Data Analyst (1 YR Fixed Term)
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Apply to Research Data Analyst (1 YR Fixed Term) at Stanford University School of MedicineJob details
- Location
- Stanford, CA
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 1 week ago
- Apply on
- careersearch.stanford.edu
About this role
Stanford University School of Medicine's Department of Psychiatry and Behavioral Sciences conducts clinical, translational, and computational research in mental health through the Center for Precision Mental Health. The Research Data Analyst 1 will manage, analyze, visualize, and document neuroimaging, clinical, and behavioral research data while collaborating with investigators and research staff.
What you'll do:
- 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
What they're looking for:
- 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
- Bachelor's degree or a combination of education and relevant experience
- Experience in a quantitative discipline such as economics, finance, statistics or engineering
- Substantial experience with MS Office and analytical programs
- Strong writing and analytical skills
- Ability to prioritize workload
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