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Assistant Specialist in the Center for Regional Change

Recruitment Period

Open date: January 2nd, 2019
Last review date: Friday, Jan 18, 2019 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Sunday, Jun 30, 2019 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


The position of Specialist has a narrow focus in a specialized area and provides technical or specialized expertise, (e.g., with social science research methods), in the planning and execution of a research project. The Specialist stays apprised of emerging issues and problems and maintains technical competence in the designated area(s) of specialization. Within this defined area and when appropriate, the Specialist is expected to provide leadership, facilitate teamwork and develop collaborative relationships with colleagues and to supply input into the planning of research and educational programs. Normally, Specialists do not have Principal Investigator (PI) status but may obtain permission by exception and/or collaborate with a PI in preparing research proposals for extramural funding. The Specialist is evaluated for merit and promotion using three basic criteria outlined below.

The Specialist will implement collaborative research focused on analysis of community challenges and opportunities to enhance community well-being, with special attention paid to disparities in both the presence of challenges and assets to meet them. Project activity will include developing a strategy for a data collection, leading that data collection effort, acquisition and management of secondary data sets, and preparing and reporting on results of analysis to academic, institutional, and/or community partners. The incumbent will work closely with PIs to collect and synthesize quantitative and qualitative data into high quality reports and presentations. Additional duties include analysis of data sets, data visualization, assisting with editing other CRC written materials, preparing content for deployment to the web, and working in collaboration with the CRC and the College of Agricultural and Environmental Sciences as needed.

The Specialist will be expected to work with entities that serve or represent communities of color, low income communities, and otherwise disenfranchised or disadvantaged communities to use the tools of research, (including data visualization), for organizing and community/institutional change processes.


A. Collaborate on the design of research methodology with PI and other project team members.
B. Work with mixed-methods and interdisciplinary project teams.
C. Lead research activities and manage all data.
D. Develop strategy for acquisition and management of secondary data.
E. Conduct analysis of quantitative data.
F. Work with PI to synthesize findings.
G. Research in specialized functions.
1) Use results of data analysis to produce high quality narrative reports that incorporate maps, charts, and diagrams.
2) Writing and editing of other CRC documents as needed.
3) Coordinate with team members to accomplish project tasks.
4) Assist writing grant proposals and Institutional Review Board (IRB) proposals.
H. Prepare and report on results of analysis to partners.

Evaluation of performance in research activities or in outreach activities as deemed applicable to the individual project in specialized areas, as documented by any of the following:
1) Publications that acknowledge the Specialist's significant and meaningful contribution to the work.
2) Publications on which the Specialist is an author.
3) Other evidence, (e.g., letters from collaborators or principal investigators), that work done by the Specialist contributed to publishable research.
4) Active dissemination of information, (beyond the boundaries of the campus), through informal instruction, presentations, or other means stemming from the Specialist's research accomplishments.
5) Other evidence of recognized expertise may include formal documentation of intellectual effort and participation in publishable research activities, first authorship on publications/patents, presentation of research at regional/national meetings, invitations to review grant proposals and/or journal articles, invitations to participate in research projects, and/or service on advisory panels.

A. Cultivate and maintain relationships with various community organizations, state and federal agencies, and other external groups on issues related to area of expertise.


A. Participate in activities of committees within the department, college, campus and other University entities, as appropriate.

Minimum qualifications
• Completion of a graduate degree, (minimum of Master of Science or equivalent), in the area of community development, sociology, public health, or a related field.
• At least 5 years of research experience.
• Experience using quantitative analysis tools such as R and SPSS.
• Strong academic writing skills.
• Qualitative and quantitative data collection experience and analysis skills.
• Communication skills to engage effectively with a variety of campus and public collaborators and audiences.
• Analytical skills to independently anticipate and identify problems and provide viable solutions.
• Experience collecting, cleaning, and managing large datasets, including experience with national and California specific secondary demographic and socioeconomic data such as the Census.
• Experience with descriptive statistical analysis and data presentation and visualization.
• Experience developing and managing databases.
• Skills in data visualization.
• Experience writing, proofreading and editing documents and presentations for public, non-academic audiences.
• Ability to work collaboratively with leaders from diverse populations.

Preferred qualifications
• Knowledge of ArcGIS.
• Experience with or ability to learn how to use qualitative analytical software such as NVivo.
• Experience with scripting and programming, including statistical analysis and web applications.
• Experience with statistical modeling and inference, (e.g. multivariate regression, spatial analysis).
• Experience with supervising project team activities.

Job location

Davis, CA


Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter (Optional)

  • Statement of Research (Optional)

  • Statement of Contributions to Diversity - Diversity contributions documented in the application file will be used to evaluate applicants. Visit for guidelines about writing a diversity statement and why one is requested.

  • Publication #1 (Optional)

  • Publication #2 (Optional)

  • Publication #3 (Optional)

Reference requirements
  • 3-5 required (contact information only)