The Stanford Headache and Facial Pain Program in the Department of Neurology & Neurological Sciences is seeking a Research Data Analyst 2 to manage and analyze large amount of neuroimaging data for our projects on chronic headache disorders.
We are seeking a Neuroimaging Research Data Analyst 2 who will work independently with minimal supervision. The successful candidate will work to organize and maintain a database of MRI scans and aid in the preprocessing and analysis of neuroimaging data. The candidate will work in closely with the study scientists to implement and execute image-analysis pipelines for structural and functional MRI data.
Duties include:
- Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
- Determine additional data collection and reporting requirements.
- Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
- Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
- Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
- Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
- Test prototype software and participate in approval and release process for new software.
- Provide documentation based on audit and reporting criteria to investigators and research staff.
– Other duties may also be assigned
DESIRED QUALIFICATIONS:
- M.S. degree or Ph.D. degree with 5 years of Statistics, Biostatistics, Bioinformatics or related experience preferred
- Experience using FreeSurfer, FSL, or other neuroimaging software (e.g., SPM)
- Experience with at least one scripting language (e.g., bash, MATLAB, python)
- Ability to multi-task various projects with different timelines
- Ability to collaborate with senior investigators
- Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field
- Experience in a Neuroscience, Neurology, Cognitive Science, Psychology or related field executing MRI analysis
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor’s degree and three years of relevant experience or 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.
- Excellent writing and analytical skills.
- 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.
WORK STANDARDS:
- 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.
This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $63,000 to $112,000 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.
As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy