Mid-Atlantic HERC

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

* 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

* Experience with REDCap database architecture, workflow automation, API integration, and scripting to support scalable data capture, quality assurance, operational reporting, and cross-platform research infrastructure

* 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

* At least two years of relevant hands-on experience in a quantitative discipline relevant to the domain of the research in the lab, such as psychology, neuroscience, statistics or engineering.

* 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

CERTIFICATIONS & LICENSES:

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.

WORKING CONDITIONS:

Some work may be performed in a laboratory or field setting.

The expected pay range for this position is $80,148 to $99,773 per annum.

Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

WORK STANDARDS (from JDL)

* 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.

* - 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.