Research Data Analyst 1 Job at Inside Higher Ed in Palo Alto
Inside Higher Ed, Palo Alto, CA, United States, 94306
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Stanford, California, United States
Schedule: Full-time
Job Code: 4122
Employee Status: Regular
Grade: F
Requisition ID: 92845
The Brain Dynamics Lab (BDL) within the Department of Psychiatry and Behavioral Sciences is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. The candidate will help in the development and maintenance of our toolboxes and processing pipelines. This person will interface with neuroimaging researchers, clinicians, and computational researchers to develop and scale up our current data processing pipelines. The position provides the opportunity for the applicant to participate in state-of-the-art data processing pipeline development within a multi-disciplinary team, whose goal is to develop computational methods for anchoring psychiatric diagnosis into spatiotemporal features of the brain.
The BDL is a computational neuropsychiatry lab dedicated to developing computational methods for a better understanding of individual differences in brain functioning in healthy and patient populations. For more information about the lab please visit http://bdl.stanford.edu
Duties Include
- Collect, manage and clean neuroimaging datasets.
- Employ new and existing neuroimaging data analysis tools (e.g., fMRIprep and XCPengine) 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.
- - Other duties may also be assigned
- Bachelors/Masters degree in bioinformatics, computer science, or related fields
- Experience with MRI imaging analysis
- Experience with ML/DL
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills And Abilities (required)
- Substantial experience with programming languages such as Matlab and python.
- Understanding of statistical components underlying neuroimaging processing pipelines.
- Understanding of digital signal processing.
- Strong writing and analytical skills.
- Ability to prioritize workload.
None
PHYSICAL REQUIREMENTS*:
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
- - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
Some work may be performed in a laboratory or field setting.
- As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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