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DESIRED QUALIFICATIONS:
- Strong foundation in data structures for management and storage of data
- Expertise in the integration of high dimensional data with meta-data, data quality, and data processing
- Experience in a quantitative discipline relevant to the domain of the research in the lab, such as psychology, neuroscience, statistics, or engineering.
- Strong knowledge of machine learning algorithms and models, and underlying statistical principles, including predictive models, latent variable modeling (such as drift diffusion modeling), clustering algorithms and canonical correlation analyses
- Hands on familiarity with functional MRI analysis software, such as SPM, FSL and Freesurfer
- Proficiency in statistical programming languages such as R and programming languages such as Python
- Familiarity with data visualization and reporting in vector format.
- Experience working in research setting relevant to mental health.
- Excellent communication and collaboration skills to work effectively with cross-functional teams, including clinical, cognitive and affective neuroscientists, mental health clinicians, physicians, functional neuroimaging specialists, psychologists and biomedical research engineers.
- Motivation to contribute to advances in precision mental health.
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, problem solving and analytical skills.
- Ability to prioritize workload 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.
WORKING CONDITIONS:
- Some work may be performed in a laboratory or field setting.
- This position is based on the Stanford main campus.
The expected pay range for this position is $66,560 to $97,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field, or discipline; departmental budget availability; internal equity; among other factors.
*- 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. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.