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. We seek a team member who is ready to share their skills and perspectives.
About Stanford Libraries:
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. Everyone in the organization plays a vital role in fulfilling that objective.
About the Position:
Overview
Stanford Libraries invites applications for the position of Head, Data Science Training & Consultation, supporting applied data science methods across all 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 all levels at Stanford.
Job Purpose
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.
Core Duties:
- 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.
- Actively encourage and support the introduction of new disciplinary tools for data management and analysis to researchers and students.
- Assume leadership within Research Data Services in the support of text and data mining training and consultation.
- Convene and coordinate Stanford’s campus-wide Carpentries program.
- Recruit, manage, and mentor graduate student consultants with RDS.
- Facilitate a culture of support and inclusion around data science methods.
MINIMUM REQUIREMENTS
Education and Experience:
Master’s degree or equivalent plus four years of relevant experience, or a combination of education and relevant experience.
Minimum Knowledge, Skills and Abilities:
- Expertise in data science languages and environments such as R and Python.
- Familiarity with the command line and basic shell scripting.
- 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.
- Ability to plan, design, develop, deliver, and evaluate in-person and online educational experiences.
- Excellent teaching, communication, and interpersonal skills.
Working Conditions:
- Extended hours and weekends.
- Occasional overnight travel.
Stanford is an equal employment opportunity and affirmative action employer. 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.
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