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Information Technology Services
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95848 Requisition #

Research Data Facilitator

 

Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

 

*The Stanford Research Computing team is looking to hire two Research Data Facilitators to join the team.

 

JOB PURPOSE:

Lead and ensure the successful integration of information technology into faculty members’ research activities, especially for data acquisition, analysis, and computational projects. Provide leadership for using technology throughout the research project lifecycle.

 

CORE DUTIES:

  • Solutions Development: Help facilitate the design and debugging of research workflows alongside researchers. Lead the development of resources, seminars, courses, or workshops to disseminate information about uses of technology for research. Actively encourage and support the use of computer-based tools by developing and implementing new tools and resources for researchers, assisting them with the tools, disseminating knowledge of these tools throughout the program or university, and creating and supporting an infrastructure that allows use of the tools in research, teaching and/or learning.
  • Researcher Engagement: Regularly engage a broad set of researchers (faculty, postdocs, and graduate students) through proactive outreach activities, support requests (e.g. email, ticketing systems, Slack, Zoom, chat) and in-person consultations as projects require or researchers request. Consult with and help researchers quickly move from project ideation to success in using IT resources and tools with minimal barriers and delays. Stay abreast of trends and research priorities by regular attendance at on-campus research seminars, workshops, and colloquia, and by regular outreach to and engagement with researchers, the national Research Computing & Data Community, and other teams supporting research at Stanford.
  • Partnership and Collaboration: Connect and coordinate interactions between researchers and technology providers. Provide regular communications to systems and software/data professionals on the team, documenting research project needs and serving as primary team point of contact for new projects as well as ongoing research engagements.
  • Documentation and Training: Enhance learning with full awareness of the local research computing and data landscape. Create training materials and provide/teach training sessions for basic use of Research Computing’s high risk research environments for research teams.
  • Coordinate academic research technology policies, procedures and support.
  • Innovation: Initiate and lead projects to develop innovative uses of technology for research, student learning and/or community building. Consult on development of software applications, or work with on- or off-campus resources to develop or adapt software solutions.
  • Consult with and help researchers and/or departments to incorporate technologies into faculty research projects. Provide outreach and advocacy within and across departments for effective uses of research technology.
  • Provide departmental and campus leadership for using technology in research.

 

MINIMUM REQUIREMENTS:

 

Education & Experience:

An advanced degree plus seven years of relevant experience, or combination of education and relevant experience.

 

Knowledge, Skills and Abilities:

  • Knowledge of key data structures, algorithms and techniques relevant to systems that support high volume or variety research datasets (including data mining, common data formats, NLP, data retrieval).
  • Experience with relational, NoSQL or other databases both traditional and cloud-based (for example, BigQuery).
  • Knowledge of general research-related regulatory standards as they may apply to research data management
  • Experience deploying, supporting and analyzing large-scale research datasets on scalable platforms.
  • Demonstrated excellence in written and verbal communications.
  • Advanced level knowledge of data provisioning and analysis.

 

Certifications and Licenses:

None

 

PHYSICAL REQUIREMENTS*:

  • Frequently perform desk-based computer tasks
  • Frequently sitting, grasp lightly/fine manipulation
  • Occasionally stand/walk, lift/carry/push/pull objects that weigh 11-20 pounds
  • Ability to meet in-person with colleagues and research teams at Stanford research sites or on the Stanford campus

* - 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 the job.

 

WORKING CONDITIONS:

  • Occasional extended hours and weekends
  • Occasional overnight travel
  • Rotating on-call responsibilities during Stanford’s annual winter closure and other extended breaks
  • This position is approved for hybrid work arrangements.

 

WORK STANDARDS:

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; 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, http://adminguide.stanford.edu.
  • Visa sponsorship is not available for this position.
  • This position is a hybrid work arrangement.

 

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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