Research Data Analyst (1 Year Fixed Term/Hybrid)

at  Stanford University

Department of Radiology at Stanford University is seeking a Research Data Analyst 1 (1 Year Fixed Term) to manage, analyze, and extract insights from large amounts of medical imaging datasets. The candidate will be working in the Integrative Biomedical Imaging Informatics (IBIIS) Division of the Department of Radiology, working in collaboration with the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). The candidate will primarily be assisting with the data management and development of novel imaging biomarkers that can be extracted from medical imaging modalities. The candidate will be responsible for managing datasets of multi-modality data (biomedical imaging, clinical notes, categorical variables, etc). The proposed methods would include skills ranging from expertise in inverse problems for compressive reconstruction of undersampled medical images, the development of medical image analysis algorithms, and familiarity with language models to parse clinical notes. A majority of the role will revolve around retrospective data already acquired. The candidate will be expected to have experience with standard programming and data exploration/analysis frameworks (Python and common packages such as PyTorch, JAX, etc). Experience with software engineering principles will be necessary for this role.

DESIRED QUALIFICATIONS:

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, 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 scientific principals to problem solving.
• 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 working with medical images and deep learning is an added plus
• Experience working with inverse problems is an added plus
• Experience working with large language models is an added plus.

PHYSICAL REQUIREMENTS*:

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.
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• 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.

• 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.
• Communicate with government officials, grant agencies and industry representatives.
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• Other duties may also be assigned.