Data Science Instructor

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:

• Raise awareness and build excitement for open research and data science
• Empower researchers to do innovative & reproducible science
• Build confidence and skills to practice open research - emphasizing open-source tools and open and transparent research processes and communication
• Engage champions and build collaborative and inclusive communities

Our Library

The UCSF Library is one of the preeminent health sciences libraries in the world, containing an expansive collection of the world's health sciences knowledge base. At its core, the library facilitates connection to information and people by delivering a diverse range of human-centered services to the UCSF community and public visitors. Through its digital and physical spaces, the library cultivates experiences that nurture progressive learning, meaningful engagement, and open creativity. As a vital campus resource, we are dedicated to supporting the UCSF mission of advancing health worldwide.

We commit to building a diverse and inclusive Library as a means of promoting health equity and counteracting historic and current systems of oppression. This commitment also applies to materials related to archives and special collections.

Our University

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.

Required Qualifications

• Bachelor's degree in related area and/or equivalent experience or training.
• Demonstrated experience designing and teaching hands-on training sessions.
• Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.
• Working knowledge and skills in R programming
• Working knowledge and skills in statistics
• Intermediate knowledge of data science.
• 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 in a self-directed environment.

Preferred Qualifications

• Master's degree or equivalent in related area.
• Thorough experience working in a complex computing /and data environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
• Proven skills and experience in independently resolving broad computing and data problems using introductory and / or intermediate principles.
• Proven ability to successfully work on multiple concurrent projects.

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