Research Data Analyst
Stanford University is seeking a Research Data Analyst 1 to Manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. The candidate will be working in the Integrative Biomedical Imaging Informatics Division of the Department of Radiology, working in collaboration with the Stanford Center for Artificial Intelligence in Medicine and Imaging. The candidate will help with the vision to transform imaging data into knowledge to improve health by advancing the clinical and basic sciences in radiology, while improving our understanding of biology and the manifestations of disease, by pioneering methods in the information sciences that integrate imaging, clinical and molecular data.
- Collect, 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 models, and perform statistical 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.
* - Other duties may also be assigned.
- Bachelor’s degree in computer science, bioengineering, electrical engineering, or other related quantitative fields. Previous laboratory experience preferred.
EDUCATION & EXPERIENCE (REQUIRED):
- Bachelor's degree in related scientific field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Experience with programming and data exploration and analysis frameworks (for example, Python, Matlab, etc).
- Experience in developing software algorithms on local and cloud platforms.
- General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
- Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
- Ability to maintain detailed records of experiments and outcomes.
- General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
- Ability to work under deadlines with general guidance.
- Excellent organizational skills and demonstrated ability to accurately complete detailed work.
- Experience with convolutional neural networks is an added plus.
- 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.
- Some work may be performed in a laboratory or field setting.
Additional WORKING CONDITIONS:
- May require extended or unusual work hours based on research requirements and business
- 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.
- Schedule: Full-time
- Job Code: 4751
- Employee Status: Regular
- Grade: G
- Requisition ID: 87494