Social Science Data Consultant & Data Education Coordinator

Description

Posted on behalf of Andi Ogier:

*Working Title: * Social Science Data Consultant & Data Education
Coordinator

*Rank: *Lecturer

*Posting Number: *AP0170122

*P**osition Summary:*The University Libraries of Virginia Tech are excited
to announce a new position to join a team offering critical and
sophisticated services that enhance the scholarly expression of faculty and
graduate students at Virginia Tech. This new position will bring experience
with relevant qualitative and quantitative data analysis techniques to
support Social Science researchers at Virginia Tech, and will coordinate
and assess new data-focused educational opportunities offered by the
University Libraries.

The ideal candidate will have demonstrated skills in qualitative,
quantitative, and mixed methods research, knowledge of digital research
methods, tools, and applications in the Social Sciences and related fields,
experience managing and interpreting common types of digital data and
assets studied in those fields. An advanced degree in a Social Science or
Education field is preferred.

This position will also work closely with other disciplinary consultants to
provide qualitative and quantitative research data support to faculty and
students in the social sciences and related fields. Working as a core
member of the Data Services unit and in close collaboration with the
Teaching and Learning Engagement Unit, the incumbent will also be
responsible for coordinating and assessing educational opportunities that
enable members of the Virginia Tech community at all levels and in all
disciplines to work more efficiently with data. The ideal candidate will
have demonstrated experience with program assessment, with research trends
in Education or the Social Sciences, and with planning and delivering
content to faculty, staff, and students in a team-based environment. Highly
collaborative, team-focused individuals with experiences in these areas are
encouraged to apply.
Responsibilities:
- Serves as lead consultant to the social sciences on managing and curating
qualitative and quantitative research data
- Serves as consultant to instructors on incorporating computational or
analysis-based tools and methods into their courses or curricula.
- Develops, coordinates, and evaluates opportunities that facilitate
learning about data and information access, data discovery, data mining,
data publishing, data management, data visualization/exploration, and
preservation
- Keeps up with trends in digital research issues, methods, and tools in
related disciplines
- Identifies data, digital scholarship, and digital library development
referral opportunities; makes connections with research teams across campus
- Participates in teams and working groups and in various data-related
projects and initiatives as a result of developments and changes in library
services

*Required Qualifications:*

- Master’s or other advanced degree in a field related to the position OR
Bachelor’s degree in a computing field or field related to the supported
community and significant experience with research methods in the Social
Sciences or Education
- Experience with, and knowledge of, trends in qualitative and quantitative
research methods
- Teaching experience
- Thorough understanding of university research environments
- A service ethic and a desire to further the cause of university research
- Ability to work collaboratively in a team-based environment
- Demonstrated ability to handle multiple complex projects simultaneously,
to set priorities, and to meet deadlines
- Outstanding interpersonal and communication skills

*Preferred Qualifications:*
- Master’s degree or other advanced degree in an education or social
science field with relevant experience managing and analyzing data.
- Experience, training or education in informatics, data management, data
literacy, data curation
- Experience supporting interdisciplinary research projects and flourishing
in collaborative environments.
- Experience using programming languages (e.g. R, Python) to analyze
statistical or textual data
- Experience with qualitative data analysis tools and software such as
NVivo and quantitative data analysis tools and software such as SPSS, SAS,
and Stata

*Employment Conditions:* - Must have a criminal background check.

*How to Apply for this Job: *Applications must be submitted online at
www.jobs.vt.edu. <http://www.jobs.vt.edu/>The application package needs to
include a resume, cover letter addressing the candidate’s experience with
the responsibilities associated with the position, and the required and
preferred qualifications, and names of three (3) references and their
contact information. Review of applications will begin as received and
continue until the position is filled.

*Employee Category: *Administrative and Professional Faculty

*Appointment Type: *Regular

*Percent Employment: *Full-time

*Pay Range: *$57,000 minimum, dependent upon qualifications
and experience

*Department: *Library

*Work Location: *Blacksburg

*Work Schedule: *8am-5pm M-F or as assigned

*Posting Date: *04/25/2017

*Job Review Date: *05/25/2017

*Quick Link: *http://listings.jobs.vt.edu/postings/75781