Research Support - Laboratory/Non-Laboratory, Staff/Administrative
Research Data Analyst
Job Number: 88198
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 (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 help with enhancing the value of medical imaging in healthcare by accelerating imaging data acquisition and analysis. Research in IBIIS and AIMI enables improving 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 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 is an added plus.
Experience working with inverse problems is an added plus.
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.
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.
Location: School of Medicine, Stanford, California, United States Schedule: Classification Level:
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 12000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu. Stanford is an equal empl...oyment 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. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.