UCSD Layoff from Career Appointment: Apply by 9/15/17 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Eligible Disability Counseling and Consulting services (DCC) or Special Selection clients should contact their Vocational Rehabilitation Counselor for assistance.
Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies.
The goals of the Department of Biomedical Informatics are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research.
This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner.
Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently.
Bachelor's degree (master's preferred) in biological science, computational / programming, or related area and / or equivalent experience / training.
Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization.
Training and experience in a healthcare field such as nursing, pharmacy, or allied health, biostatistics, or health informatics is required. Alternatively, a minimum of six years' experience as a data analyst in the research/healthcare IT field is required.
Advanced experience in SQL, specifically T-SQL with the ability to perform complex joins and write aggregation queries. Ability to write complex and efficient SQL scripts and procedures, including use of system and local variables, cursors, and error handling code.
Demonstrated experience creating ETL scripts or writing specifications for ETL. Use of ETL tools such as Talend or Informatica are desired.
Demonstrated knowledge of data warehousing concepts.
Solid understanding of human subjects research regulations and the application of HIPAA for human subjects' research and healthcare quality improvement.
Demonstrated experience in standard medical terminologies such as ICD-9, RxNorm, SNOMED-CT, CPT, and LOINC.
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