Library
Full Time
77987BR
Job Summary
The Data Science Instructor will join the Data Science and Open Scholarship (DSOS) team within the UCSF Library to provide inclusive and empowering data science training to UCSF students, faculty, and staff, contributing to the Library's goal of being a campus hub for data science.
This position is in charge of designing and teaching workshops and training sessions on topics such as R programming, statistics, and generative AI. Targeting a diverse health science research audience, our training is inclusive and welcoming, and designed to build foundational skills that learners can integrate into their research, clinical care, or daily tasks. In collaboration with the rest of the team, the person in this role will also provide 1:1 consultations to UCSF learners, faculty, and staff to help them troubleshoot data science questions and connect them with campus resources. Consulting sessions may involve creating, reviewing, or debugging medium complexity Python, R, SQL, Unix, Git, or other data science related programming languages and technologies to access or analyze data in local or SQL data warehouses, code repositories, or other cloud based data stores. As community building is an essential goal of the DSOS team, the Data Science Instructor will also promote data science education and community through participation in campus outreach events and meetups.
In addition to their training responsibilities, the Data Science Instructor is expected to serve on UCSF and UC-wide committees to represent the Library's vision of inclusive data science. They will also contribute to data science-related task forces to support campus initiatives and projects such as creating training and guidance for using generative AI. Additionally, they will work with library colleagues in other units to expand knowledge and provide support for data intensive collaborations.
Finally, the Data Science Instructor is expected to continue developing their own data science skills, investigating new technologies and platforms that can benefit the UCSF community and spending time on special projects to pilot new approaches and tools within the Library and with partners across campus. Projects might involve intermediate application of programming, HPC/cloud computing, machine learning, and generative AI to the preparation and analysis of large scale data sets from a broad set of multimedia, including video, audio, image, and text data.
The full salary range for this position is $84,400 to $180,000, we anticipate hiring near the midpoint around $120,000-$135,000. This position will have a flexible/hybrid schedule, likely requiring 2-3 in-person days per month.
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
Our Team
The Data Science & Open Scholarship Team serves as a campus hub for education and support in data science and scholarly communication. Through a collaborative and holistic approach to the cycle of research, we work with colleagues across the library and UCSF community to provide cohesive services that better integrate into the lives of UCSF faculty, staff, and learners.
Together we:
Required Qualifications
Preferred Qualifications
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
006104 CMPTL AND DATA SCI RSCH SPEC 3
Job Category
Professional (Non-Clinical), Professional and Managerial, Technical & Technologist
Bargaining Unit
99 - Policy-Covered (No Bargaining Unit)
Employee Class
Career
Percentage
100%
Location
Flexible (combination of onsite and remote work), Mission Bay (SF)
Shift
Days
Shift Length
8 Hours
Additional Shift Details
Monday-Friday 9am-5pm