MED-CORE-GERI

Part Time

77951BR

Job Summary

The Division of Geriatrics seeks to recruit a part-time Senior Statistical Scientist who will apply advanced computational, computer science, and data science for a wide variety of quantitative studies including big secondary data studies and primary data collection. The candidate will collaborate with Principal Investigators (PIs) in the Division of Geriatrics, as well as outside the Division, where needed, as a key scientific team member. The Senior Statistical Scientist will be involved in the full life cycle of the research projects from study conception through results dissemination. Operationally, the candidate's duties may include: planning for and implementing database development of primary data collection systems (e.g., REDcap); developing and maintaining well-documented software, algorithms, and analytic datasets, and assisting other research team members and statisticians in identifying complex issues in the data curation lifecourse; working with large, complex databases to derive analytic datasets; developing and implementing computational algorithms and software for novel analyses of complex medical data; presenting work on complex statistical modeling and computational tools at national conferences; conducting advanced statistical analyses using SAS, STATA, and R software; developing and maintaining well-documented software and algorithms for data manipulation and analysis which are also used by other statisticians in their research projects; generating and maintaining analytic datasets from primary data collection and large-scale survey data and Medicare datasets, which are used in multiple research projects; assisting and training other statisticians on the myriad details of compiling and analyzing key primary and secondary data sources (e.g. the Health and Retirement Survey; the National Health and Aging Trends Study; National Veteran's Administration patient data) and linkage with Medicare and other databases; assisting other statisticians/programmers in identifying complex issues and software bugs in the analysis of complex data; providing statistical programming and analysis consultation for geriatrics fellows and for junior faculty; developing and implementing study protocols and writing study documentation procedures (including analysis plans, protocols and standard operating procedures); designing, developing, and documenting quality control systems for data validation, analysis algorithms, tools, and infrastructure; interacting with data warehouse support, researching study data help desks, and extramural investigators to resolve data discrepancies and data quality questions; and performing other duties as assigned.

The final salary and offer components are subject to additional approvals based on UC policy.

To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)

Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

The Division of Geriatrics' work is grounded in a deep commitment to and respect for older persons from diverse backgrounds and lived experiences. We are specialists in aging. Our expertise is in optimizing the health of older individuals. We work in the community and on virtually every UCSF campus - Parnassus, San Francisco VA Health Care System, Zuckerberg San Francisco General Hospital, Mission Bay, and UCSF Center for Geriatric Care. The Division has over 130 employees including faculty, volunteer clinical faculty, fellows, staff, student interns and volunteers. We are deeply committed to, and will champion, diversity, equity and inclusion as our core mission. We will nurture and grow a culture in which everyone from all backgrounds is welcomed, supported, respected, and valued!

Required Qualifications

• Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.
• Five or more years of relevant experience
• Ability to develop and maintain well-documented databases, algorithms, and analytic datasets for primary data collection studies.
• Advise other researchers and statisticians in understanding and use of these data systems.
• In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management 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.
• In depth skills and experience in independently resolving complex computing / data problems
• Self-motivated and works independently and as part of a team.
• Advanced 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.
• In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.
• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs.

Preferred Qualifications

• Master's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.
• Previous experience working at the SFVAHCS, NCIRE, or UCSF

About UCSF

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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at

Join us to find a rewarding career contributing to improving healthcare worldwide.

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.

Organization

Campus

Job Code and Payroll Title

006028 CMPTL AND DATA SCI RSCH SPEC 4

Job Category

Clinical Systems / IT Professionals, Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Contract

Percentage

25%

Appointment End Date

30-Jun-2028

Location

Remote / Telecommute

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Monday-Friday 8AM-5PM, hours vary