Research Data Analyst 1 (Hybrid Opportunity)

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Information Analytics
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103094 Requisition #

The Brain Stimulation Lab (BSL) has been at the forefront of using brain stimulation techniques to treat and study neuropsychiatric disorders.  We focus on utilizing neurostimulation to probe the neural elements involved in control of conflict regulation within the human brain. The mission of the BSL is to utilize cutting-edge neuroimaging techniques in an effort to develop new hypotheses regarding proposed dysfunction within the neural networks involved in neuropsychiatric diseases/disorders.

 

The BSL offers research study treatments for numerous neuropsychiatric diseases/disorders. Currently, the BSL has several active studies examining topics such as treatment-resistant depression, chronic pain, suicide, and obsessive-compulsive disorder. BSL studies utilize novel brain stimulation techniques, novel psychopharmacological approaches and neuroimaging methods.

 

The BSL within the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine 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 engage with Stanford faculty, students, and staff as well as external collaborators.  This position will aim to understand the neural basis of treatment-resistant depression, obsessive-compulsive disorder and their treatments to leverage this knowledge to develop novel treatment interventions.

  

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

DESIRED QUALIFICATIONS:

  •  Experience with data tools (i.e. RedCap, C, C++, Java, CONN, Matlab, SPM, FSL, BrainNet)
  • Experience in neurosciences research and/or clinical trials

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EDUCATION & EXPERIENCE (REQUIRED):

  •  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 MS Office and analytical programs.
  • Strong writing and analytical skills.
  • Ability to prioritize workload.

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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.

 

WORKING CONDITIONS:

  •  Some work may be performed in a laboratory or field setting.
  • This position is based in Stanford’s main campus and has the option of a telecommuting/hybrid schedule subject to operational needs.

 

The expected pay range for this position is $66,560 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

* - Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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