This position will remain open until a successful candidate has been identified.
UCSD Layoff from Career Appointment: Apply by 6/17/19 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 6/27/19. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The Alzheimer's Disease Cooperative Study (ADCS) was formed in 1991 as a cooperative agreement between the National Institute on Aging (NIA) and the University of California, San Diego. The ADCS is a multi-center clinical trials consortium that provides an operational framework for large scale Alzheimer's disease research projects. The ADCS consists of 7 cores, 22 committees, 35 research sites that are members of the consortium/Steering Committee, and an additional 40 or more research sites located across the U.S. and Canada that participate in one or more trials coordinated by the ADCS. Annual funding for the ADCS ranges from $15-25M. The ADCS provides expertise in developing Alzheimer's disease related protocols and is the coordinating center for multiple clinical trials of varying sizes and complexity under subcontracts funded by NIH and clinical trial agreements with industry partners.
As a member of the ADCS, the Information Systems Analyst will develop and maintain moderately-complex and complex applications, components, and frameworks used for the capture, analysis, management, and dissemination of clinical trial data. The Information Systems Analyst will serve as a domain expert on development of data products that encompass data integration processes, data transformation, and data warehousing and reporting tools/techniques. The Information Systems Analyst is required to ensure the extracted, transformed, and displayed information meets all regulatory and business requirements of the organization and end users.
Applies professional concepts, department/unit and campus/medical center/OP policies and procedures to resolve a variety of complex issues in one or more IT areas of specialization. Analyzes complex issues. Within defined procedures and practices, determines appropriate action.
Bachelor's degree in computer science or related field or five years equivalent training.
Three or more years of relevant work experience.
Experience working with healthcare or biomedical research data under privacy regulations (HIPAA) is desirable.
Broad knowledge of various areas of IT.
Demonstrated testing and test planning skills. Demonstrated knowledge and experience working with large, complex biological and/or clinical data sets.
Demonstrated ability to install software and troubleshoot and repair moderately complex problems with computing devices, peripherals and software. Understanding of and experience troubleshooting client, server and peripherals-related issues and actions that can be taken to improve or correct performance. Experience in incident response and digital forensics, including data collection, examination and analysis. Extensive knowledge and demonstrated experience with web application development tools and frameworks, including Pyramid, Flask, Django, CGI.pm, mod_perl, Catalyst, JQuery, Dojo, YUI, etc. Extensive knowledge and demonstrated experience with database interfaces such as Psycopg, DBI/DBD, MySQLdb, JDBC, etc.
Thorough knowledge of business and process analysis functions. Knowledge of the design, development and application of technology and systems to meet business needs. Advanced knowledge and experience with testing tools and software, including PyTest, Nose, PyUnit, Test::More, Test::Deep, JsUnit, JUnit, and Selenium tools. Demonstrated knowledge of computer systems, software, and relational database documentation procedures.
Demonstrated experience with database administration. Working knowledge of database management systems and standards. Knowledge relating to database system design. Advanced database querying and modeling skills working with moderately complex databases. Knowledge of and experience working with object oriented programming techniques. Extensive knowledge and demon
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