Information Analytics
87828 Requisition #
The Center for Interdisciplinary Brain Sciences Research (CIBSR) within the Department of Psychiatry and Behavioral Sciences is seeking to hire a Research Data Analyst 1 (RDA 1) to manage and analyze large amounts of information, under the direction of investigators and researchers. The RDA 1 will be primarily responsible for database management and data analysis and will be expected to complete the following: manage, clean, analyze data sets, prepare written reports for scientific and clinician investigators, communicate and write results in an understandable and effective manner.

We are looking for a reliable, detail-oriented, and responsible individual who will perform well in a collaborative setting by demonstrating initiative, being responsive to requests made by investigators, and showing competence in multi-project management. The candidate will have an array of opportunities to enrich his/her research experience and publications through collaborations with clinician investigators in the department who have expertise in areas such as depression, autism, genetic disorder, imaging studies/neuroscience, neuroethics, ethics of machine learning in healthcare, and various health and mental health research. Many studies also employ longitudinal designs with and without randomization.

Excellent communication skills and fluency in SPSS/SAS and/or R is required, and proficiency with database management (e.g. Redcap) is highly desired. Individuals with some experience in building websites or in developing R/R Shiny tools will have more diverse opportunities. Individuals with familiarity and experience in applying machine learning methods including natural language processing will have opportunities to analyze language data. Individuals with solid training in supervised learning and interests in unsupervised learning and latent variables/psychometrics will have opportunities to participate in more methodologically oriented mental health research.

Interested candidates should send a copy of their curriculum vitae, a personal statement outlining their qualifications and interests and the names of two references with contact information via email to Dr. Booil Jo (booil@stanford.edu) and Dr. Jane Kim (janepkim@stanford.edu).

Duties include:

• 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.

* - Other duties may also be assigned


• M.S. Degree in Statistics, Biostatistics, Bioinformatics or related field
• Experience and proficiency using R, SPSS, or Python
• Experience in applying statistical analysis methods, such as linear regression, longitudinal data analysis, survival analysis
• Experience in applying machine learning methods highly desired
• Ability to multi-task various projects with different timelines
• Ability to collaborate with senior investigators


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


• 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.


• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

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