Manager, Statistical Support Services

University Job Title: Manager, Statistical Support Services
Bargaining Unit: None - Not included in the union (Yale Union Group)
Time Type: Full time
Duration Type: Regular
Compensation Grade: Administration & Operations
Wage Ranges: Click here to see our Wage Ranges
Work Location: Central Campus
Worksite Address: 219 Prospect Street
New Haven, CT 06511
Work Week: Standard (M-F equal number of hours per day)
Searchable Job Family: Library, Research Res Support
Total # of Hours to be Works: 37.5

Position Focus:
The Manager of Statistical Support Services is responsible for the StatLab, the library's research support program in statistical methods and analysis. Through a robust a consultation and training program, the StatLab offers research support to faculty and students across Yale.

The incumbent will mature the StatLab service model to ensure the program is sustainable, that it enriches the University's growing research support ecosystem, and that it meets the existing and emerging needs of students and data-intensive researchers. To keep the program responsive and relevant, the the manger will implement a robust assessment and user engagement plan.

The manger will hire, onboard, and supervise an expert team of graduate students to provide just-in-time consultive help for qualitative and quantitative statistical analysis, methodologies, and related software.

The StatLab will collaborate and partner across the university with other units, including the Yale Center for Research Computing, the Poorvu Center for Teaching and Learning, Biomedical Informatics & Data Science, the Data-Intensive Social Science Center, and the Geospatial Solutions Center, to support the full range of research and researchers at Yale.

As a member of the Computational Methods & Data team, the Manager works closely with librarians and specialists across the university to offer workshops and consultations that advance the library's research and learning strategies. Such engagements will enable methodological communities that cross cut-disciplines and advance key areas of support, including open science and reproducibility. The Manager also offers assistance with grant applications and scholarly publishing related to statistical and data analysis.

Yale University Library serves a diverse staff, campus, local, and global community and is deeply committed to advancing its goals for equity, inclusion, and accessibility. This commitment is reflected in our mission, strategic directions, staff values, initiatives, and scholarly activity. To support our goals for staff recruitment, retention, and development, Yale Library invites applications from candidates whose philosophies align with these commitments and who have demonstrated success with supporting diversity and inclusion through their work, service, research, and/or teaching.

Essential Duties:
1. Provides faculty and students with consulting, user support and instruction in relevant applications and tools for statistical analysis. 2. Provides expertise and support for research design, computational projects and applications with large statistical and/or geospatial datasets. 3. Manages team of PhD students providing qualitative and quantitative data analysis consultation. 4. Contributes to the design and implementation of long-term research data services for the university. 5. Provides guidance at all stages of the research process on discipline-related needs including data management, analysis and visualization. 6. Assists with managing, analyzing and producing projects with statistical and/or geospatial datasets. 7. Develops and implements relevant statistical programs to incorporate data from multiple projects. 8. Assists faculty and other research professionals with the formulation and description of appropriate statistical methods. 9. Creates online documentation and training materials relevant to statistics and data management. 10. In preparation of research grant applications and articles, may assist investigators with writing research methods section pertaining to data analysis, relevance and validity.

Required Education and Experience:
Masters degree in the Social Sciences, Computer Science, Information Science or related field and four years of experience in an academic environment, or equivalent combination of education and experience. Demonstrated proficiency with advanced quantitative and/or qualitative data analysis, methodology and related software (such as SAS, Stata, R, MATLAB, Mathematica, NVivo, etc) in an academic setting. Possess firm understanding of technical applications in statistical research and instruction. Excellent oral and written communication skills; demonstrated analytical and organizational skills. Demonstrated ability to design projects related to statistics, data resources, geospatial and/or social science computing and bring them to a timely conclusion. Demonstrated ability to work both independently and in a team environment.

Required Skill/Ability 1:

Demonstrated proficiency with advanced quantitative and/or qualitative data analysis, methodology and related software (such as SAS, Stata, R, MATLAB, Mathematica, NVivo, etc) in an academic setting.

Required Skill/Ability 2:

Possess firm understanding of technical applications in statistical research and instruction. Excellent oral and written communication skills; demonstrated analytical and organizational skills.

Required Skill/Ability 3:

Demonstrated ability to design projects related to statistics, data resources, geospatial and/or social science computing and bring them to a timely conclusion.

Required Skill/Ability 4:

Demonstrated experience supervising, managing, and/or leading a team.

Required Skill/Ability 5:

Demonstrated ability to design and deliver user-facing services.


Preferred Education, Experience and Skills:
PhD in Statistics or Data Science. Knowledge of and experience with GIS, data management, and relational databases. Experience with survey design, statistical consulting and quantitative data analysis. Experience with data visualization tools/languages (Tableau, leaflet, Processing, D3). Strong understanding of metadata standards, XML, UNIX, Python, Perl, PHP, Javascript and Java programming.

Drug Screen: No
Health Screening: No

Background Check Requirements:
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.

COVID-19 Vaccine Requirement:
The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies, which may be found here:
https://covid19.yale.edu/health-guidelines



Posting Disclaimer:
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.

To apply, visit https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25053&siteid=5248&PageType=JobDetails&jobid=1591420



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