Scientific Data Analyst and Programmer

Job description

Scientific Data Analyst and Programmer
Stanford University

Duties and Responsibilities
The Scientific Data Analyst and Programmer responsibilities will include, but are not limited to:
1. Program and optimize pipelines for data quality control, imaging data preprocessing, and statistical and computational analyses pipelines for large-scale multimodal brain imaging data, including but not limited to resting state and task based fMRI, diffusion MRI, and volumetric data, behavioral data, and biological (e.g. hormonal, genetic data.
2. Maintain detailed logs of work flow, generated codes and scripts, and documentation of processes
3. Create and manage best practices for data organization and workflow procedures
4. Implement publicly available processing and analyses pipelines such as the Human Connectome Project.
5. Implement data visualization programs on neuroimaging, behavioral, and biological data
6. Process and analyze neuroimaging, behavioral, and biological data working closely with other lab members
7. Work closely with lab members on data requests and system upgrades.
8. Assist in the creation and maintenance of lab databases, query tools for data mining, coordination of data integration from multiple ongoing studies, and documentation of these tools.
9. Train other lab members on quality control and preprocessing of neuroimaging data.
10. Communicate and document all issues and concerns as they arise to PIs and other relevant research staff

Required Qualifications
- B.A., B.S. required. Masters or PhD preferred with background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subject.
- Salary will be commensurate with relevant experience and education.
- Strong programming skills and comfort with diverse computing environments (e.g. Matlab, Python, UNIX/BASH languages).
- Strong background in statistics and statistical software scripting (e.g. R, Python).
- Experience with data visualization.
- Strong interpersonal skills and a high level of organization with careful attention to detail are absolutely required.
- High degree of motivation, organization, and selfŠ\sufficiency, although some training and supervision will be provided.

Additional Qualifications
- Experience with databases (neuroimaging, biological, and behavioral) is an advantage.
- Experience with network analyses, machine learning and modeling confer a significant advantage.
- Familiarity with the Brain Imaging Data Structure (BIDS) is an advantage.

Proficiency with multiple neuroimaging analysis platforms (e.g. HCP Pipeline, FreeSurfer, SPM, FSL, AFNI, GIFT, TrackVis, CONN, etc.) is an advantage.

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Job No:
Posted: 11/9/2018
Application Due: 1/9/2019
Work Type: