The Center for Advanced Medical Analytics (CAMA) in the Cardiology Division of the University of Virginia School of Medicine seeks applicants for a Data Engineer to support research on projects related to predictive monitoring using continuous physiological signals and clinical data. CAMA has collected a large repository of physiologic data and annotated clinical events that has not only produced a high volume of academic publications, but that has also resulted in the development of applications and displays being actively used and tested out clinically with UVA Health System partners. These resources are uniquely ideal for implementing deep learning and other modern machine learning techniques. Support is needed for research on physiological monitoring that involves advanced mathematical and statistical analysis in order to develop and deploy algorithms for early detection of illness, large-scale time series and other data acquisition.
The successful candidate will be expected to:
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Manage multiple databases with multiple database programs.
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Clean, derive, engineer and query data.
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Perform basic statistical analyses and provide reports.
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Work with external institutions on multi-site research studies for proper formatting and transfer.
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Perform weekly or more frequent checks for completeness and security of multisite research data.
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Work with multi-site research institutions module on dissemination of containerized software.
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Coordinate the configuration of lab workstations.
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Work closely with physicians and other medical experts to understand clinical significance of projects.
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Collaborate with other members of the large clinical and engineering team.
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Manage large, complex data sets and utilize high-performance computing resources as needed.
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Maintain lab website and GitHub.
In addition to the above job responsibilities, other duties may be assigned.
Qualified candidates must have:
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Education: Bachelor's degree in quantitative biology, data science, computer science, mathematics, systems administration, systems engineering, electrical engineering or other engineering disciplines at time of employment.
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Experience: Three years of experience. Relevant experience may be considered in lieu of a degree.
Preferred experience:
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Candidates should have experience in any of the following fields: bioinformatics, computational statistics, data analytics, signal processing.
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Experience with at least two of the following programming languages: C++, Python, R, Java, and MatLab.
Required knowledge, skills and abilities:
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Self-motivated.
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Work well with teams.
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Serve as a technical liaison.
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Manage large, complex data sets across multiple sites.
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Perform scientific programming for mathematical analysis of streaming physiological monitoring data.
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings and programs. This position is located in Charlottesville, VA.
The Data Engineer will report to the Center for Medical Analytics Research Program Officer.
The anticipated start date is April 18, 2022. Review of applicants will begin on April 11, 2022, but the position will remain open until filled.
This position is a restricted position for one year with the possibility of renewal, based on funding and satisfactory performance. The anticipated hiring range will be commensurate with education and experience. This is an exempt-level, benefited position. For more information on the benefits at UVA, visit
hr.virginia.edu/benefits.
For more information about UVA and the Charlottesville community, please see
http://www.virginia.edu/life/charlottesville and
https://embarkcva.com/.
COVID Vaccination Requirement and Guidelines
Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.