2024-02-12: Head, Data Science Training - Palo Alto, CA, United States - International Association for Social Science Information Service and Technology

Description

Head, Data Science Training & Consultation
Head, Data Science Training & Consultation

Stanford Libraries is seeking a full-time Head of Data Science Training & Consultation to join the Research Data Services Department.

The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.

Stanford Libraries is a network of over 15 libraries with over 400 employees.

We are committed to fueling teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items.

Our dedication to discoverability and information management also has us engaged in dynamic global partnerships.

We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint.

While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena.

and across NYU's global network to implement and enhance programs & services.

Stanford Libraries invites applications for the position of Head, Data Science Training & Consultation, supporting applied data science methods across al disciplines on campus.

This position is part of Research Data Services, a group within Stanford Libraries which supports computational and data-centric methods and practices to further research at al levels at Stanford.

This role is responsible for broad support for quantitative, computational, and algorithmic analysis of research data, including aspects of data management, analysis methods, workflow reproducibility, and ethical considerations.

The Head of Data Science Training &Consultation continues a long tradition of university-wide service for data-driven research scholarship, while growing Research Data Services' capacity as a hub for digital and computational research support.

In collaboration with other members of Stanford Libraries, the successful candidate will support this mission through campus-wide outreach efforts as well as the development of Library services that address the growing need for support of data science methods.

The successful candidate will work strategically with Library colleagues including software developers, data curators, and subject specialists to provide Stanford researchers access to a wide range of data science support, including in-person &hybrid training courses and individual consultations.

They will bring a passion for customer service rooted in higher-ed in addition to extensive instructional skills in data science training.

This position manages a team of graduate student assistants to assist with these goals, including recruitment, hiring, professional development, and oversight.

In addition, they serve as the main steward of the Velma Denning Room in Green Library, a physical site of encounter, knowledge transmission, and community for those interested in digital research methods.

In this spirit, the role collaborates domain-specific digital skills training with subject librarians across the campus, including the nearby Social Science Resource Group.

Lead the development of resources, workshops, tutorials, and consultations to disseminate information about the uses of quantitative, computational, and algorithmic methods in research – in other words, data science methods.

Organize RDS' workshop series and coordinate drop-in consulting train scholars at all levels of technical ability.

Identify emerging tools and methods that will advance these forms of research projects and provide the technical assistance necessary to enhance the Library's contributions to faculty and student research projects.

Actively encourage and support the introduction of new disciplinary tools for data management and analysis to researchers and students, assist them with such tools, disseminate knowledge of these tools throughout the university, and create & support an infrastructure that allows the use of these tools in research.

Assume leadership within Research Data Services in the support of text and data mining training and consultation. Provide assistance in the direct integration of TDM and other quantitative methods into research projects.

Convene and coordinate Stanford's campus-wide Carpentries program, including administrative responsibilities, instructor recruitment, and integration of Carpentries course offerings into domain-specific contexts.

Develop and implement strategies for collaboration, program design, and support for digital research projects.

Conduct environmental scans in conjunction with subject librarians to identify current and emerging areas and methods of research, as well as scholarly projects for which digital tools and methods are appropriate.

Recruit, manage, and mentor graduate student consultants with RDS.
Facilitate a culture of support and inclusion around data science methods.

• Expertise in data science languages and environments such as R and Python.

Demonstrated ability to develop instructional material, set pedagogic goals, and measure learning outcomes.

Knowledge of the current and emerging state-of-the-art in common text & data mining techniques, including topic modeling, word embedding models, LLMs, and similar.

Ability to plan, design, develop, deliver, and evaluate in-person and online educational experiences.
Eagerness to learn about cutting-edge technologies and methods to assist researchers working at the forefront of their fields.

Ability to interact effectively and professionally with members of the academic community, including librarians, students, faculty, postdocs, and other staff.

Excellent time management and project management skills. Experience with traditional quantitative and qualitative methods using software packages such as Stata, SPSS, NVivo, AtlasTi.
Experience working with spatial data, methods and software packages, such as rasterio, geopandas, GDAL, etc.
Constantly perform desk-based computer tasks.
Rarely writing by hand, use a telephone.

• Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

Extended hours and weekends.
Occasional overnight travel.
uses and promotes safe behaviors based on training and lessons learned.

Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.

We believe Stanford's future success will be shaped by the diverse perspectives, unique experiences, and inclusive culture of its community.

Imagine a world without search engines or social platforms. Supporting this mission is our diverse and dedicated 17,000 staff. We offer career development programs, tuition reimbursement, and course auditing. Join a TedTalk, watch a film screening, or listen to a renowned author or global leader speak.
We provide superb retirement plans, generous time-off, and family care resources.
Choose from hundreds of health or fitness classes at our world-class exercise facilities. Content licensed under Creative Commons BY 4.