Part Time Analyst, GIS in Epidemiology & Biostatistics, The University of California San Francisco, San Francisco, CA

Part Time Analyst, GIS in Epidemiology & Biostatistics, The University of California San Francisco, San Francisco, CA

Posting Date: 01/26/2018

Job Information/Description:

Job Summary

The Analyst, geological information services (GIS), applies skills as a seasoned, experienced Information Technology (IT) research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

The Analyst applies skills as a seasoned, experienced GIS research professional. Collects, manages and analyzes GIS data relevant for epidemiologic studies, across all phases from design (grant proposals) to dissemination (publications). Develops and optimizes research gathering, retrieval, and reporting systems. Prepares reports and documents research methods. Evaluates analytic strategies and collaborates with research team in determining best research methods.

Please note: This is a 50% six month contract position starting from the date of hire. 

The Department of Epidemiology and Biostatistics (DEB), housed within the UCSF School of Medicine, has a vision to advance discoveries and insights into the distribution, determinants and outcomes of disease that will drive improvements in population health worldwide. The DEB has three missions: 1) education, 2) science, and 3) research. Its educational mission is to train students in epidemiologic and biostatistical methods for studying disease etiology and prevention, evaluating tests and treatments, and using evidence-based approaches in clinical practice and population health. The scientific mission of the DEB is to perform outstanding basic, clinical and population health research along a spectrum from molecules to society and to develop tools for the translation of knowledge that will improve clinical practice and population health and ensure optimal use of resources. The clinical mission of the Department is to support the practice of public health and preventive medicine in local, state, national and international health agencies.

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.


Required Qualifications

• Bachelor’s degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or related field and three to five years of relevant work experience, or the equivalent combination of education and experience
• Intermediate knowledge of HPC / data science / CI
• Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications
• Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles
• Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base
• Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solution
• Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
• Demonstrated ability to regularly interface with management
• Demonstrated ability to contribute research and technical content to grant proposals
• Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines
• Proven ability to successfully work on multiple concurrent projects
• Ability to work in an open space environment

Note: Fingerprinting and background check required.

Preferred Qualifications

• Master’s degree in related field
• Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI


Mission Hall – Mission Bay



Job Code and Payroll Title

6104 Computational and Data Science Research Specialist III



Work Days

Monday – Friday, 30 hours per week



Shift Length

8 Hours



Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Contact Information:

Application Link: