The Department of Psychiatry and Behavioral Sciences at Stanford University’s School of Medicine is seeking Research Data Analyst 1 (RDA 1) to manage and analyze large amounts of multi-modality brain imaging data under the direction of Dr. Vankee Lin. CogT Lab focuses on the evaluation of various cognitive interventions among older adults and understanding the underlying neural mechanisms. For more information on the lab, please visit: https://www.cogtlab.com/
This position will be 100% FTE. Interested candidates should include a cover letter along with their CV.
DUTIES INCLUDE:
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 and/or computational models, and perform data 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
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DESIRED QUALIFICATIONS:
Bachelor's degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields. Experience with signal processing of medical imaging data. Experience with or demonstrated interest in neuroimaging techniques. Experience with Neuroimaging (FSL, SPM, AFNI, or equivalent) software. Experience using high-performance computer clusters and bash/shell scripting. Experience in data science, statistics, optimization, machine learning, and/or deep learning. Experience with machine learning frameworks (e.g. PyTorch, Tensorflow, etc.) Experience with Statistical software (R, SAS, SPSS, or equivalent), and other common programming languages in neuroimaging (python, MATLAB). Prior experience with R is highly recommended for data analysis..
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 in machine learning. Ability to prioritize workload..
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 remote and 100% FTE.
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The expected pay range for this position is $82,468 to $106,256 per annum (within 10 Bay Area counties) or $54,763 to $83636 per annum (all other regions). 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.
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* - 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
Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 105861 Work Arrangement : Remote Eligible