Thanks for your interest in the Clinical Neuroscience Data Specialist position.
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DESIRED QUALIFICATIONS:
- Familiarity with fMRI data analysis techniques, such as using SPM, Freesurfer
- Experience with complex human subjects data management
- Knowledge of statistical and machine learning techniques for data analysis
- Experience working in research or academic setting
- Familiarity with data visualization tools
EDUCATION & EXPERIENCE (REQUIRED):
- Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline relevant to the domain of the research in the lab, such as psychology, neuroscience, or statistics.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Motivation to contribute to advances in precision mental health
- Proficiency in statistical analysis software (e.g., SPSS, R, Python)
- Experience working with complex datasets
- Substantial experience with MS Office and analytical programs
- Strong writing, problem solving and analytical skills
- Ability to prioritize workload
- Ability to manage multiple projects and deadlines
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.
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WORKING CONDITIONS:
- Some work may be performed in a laboratory or field setting.
- The work arrangement for this position will be on-site and will be based on the Stanford main campus.
The expected pay range for this position is $64,480 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.