UCSD Layoff from Career Appointment: Apply by 4/26/17 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.
Serving as a technical and functional leader, this position is involved with building software workflow infrastructure for bioinformatics with a particular emphasis on delivering professional tools and platforms for widespread use among the research community.
Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms to identify and resolve a wide range of highly complex issues / software bugs where analysis of situations or data requires an in-depth evaluation of variable factors. May lead or mentor a team of bioinformatics programming professionals.
The Bioinformatics Programmer will be responsible for development, implementation and maintenance of Biomedical Informatics programs and will work with critical patient care and clinical research data systems to support data sharing across all organizational systems (School of Medicine, Medical Center, etc.). The work content includes all aspects of computer systems, networking security and database application programming for building the infrastructure needed to support the programs and defining processes to implement and maintain systems. The Bioinformatics Programmer will design programs and database concepts, benchmark hardware and software, and design solutions to technical problems. Will also be responsible for performance by monitoring, maintaining, administering, improving, developing, and testing applications related to large, complex, clinical investigation databases.
Exhibit technical mastery of system internals, network security database and operating systems, emerging cluster computer technologies and architectures and the interrelationship of all.
In-depth knowledge of bioinformatics methods, applications programming, web development and data structures.
In-depth knowledge of bioinformatics programming design, modification and implementation.
Advanced understanding of relational databases, web interfaces and operating systems.
Advanced project management skills. Ability to assess a broad spectrum of technical and resource needs and demands and establish priorities, delegate, and manage sub-projects simultaneously.
In-depth knowledge of modern biology and applicable field of research.
In-depth knowledge of web, application and data security concepts and methods. In depth knowledge of network security, internal operating systems, communication protocols, computer security, database development, and system utilities (Windows, UNIX, Linux, MAC OS X). Demonstrated technical mastery of internal systems, network security databases, and operating systems. Familiarity with various data mining tools and software. Demonstrated experience with electronic medical records and data warehouses.
Advanced expertise in scientific software development in the life sciences using the common object-oriented programming languages. Track record of productivity in delivering well-designed scientific software in an industrial or academic environment. Extensive experience employing design patters and in following industry adopted software development best practices. Proficient