Posted to IASSIST on: 2013-07-18
Employer: New York University Libraries
Employer URL: http://library.nyu.edu/
New York University’s (NYU) Data Services, a joint ITS and Library facility, is seeking a full-time Academic Technology Specialist to provide quantitative research computing and data support to faculty, students, and staff at NYU. The incumbent will be working in a vibrant and collaborative environment on a team that supports all phases of the data lifecycle in research, teaching and learning including collection, analysis and preservation.
- Provide statistical programming and data analysis support to academic researchers.
- Develop and deliver training sessions on research software packages and tools.
- Keep up-to-date on the technical and methodological advances in the computational sciences.
- Supervise a diverse team of graduate student consultants.
- Perform various administrative duties associated with managing an academic facility.
Bachelor’s degree in Statistics, Sociology, Economics, Psychology, Mathematics, Political Science or related quantitative-focused field.
Master’s degree (or higher) in Statistics, Sociology, Economics, Psychology, Mathematics, Political Science or related quantitative-focused field.
- 3 years related experience, or equivalent.
- 1-3 years conducting quantitative academic research with at least one of the following statistical software packages: Stata, R, MATLAB, SAS and SPSS.
- Proficiency with commonly used statistical and data-oriented methods, including: data cleaning, t-tests, ANOVA, linear regression and generalized linear models.
- Excellent public service, communication, organizational and interpersonal skills.
- Experience teaching quantitative software packages and/or research methods.
- Familiarity with a variety of statistical methods, such as: factor analysis, time series analysis, panel data analysis, multi-level modeling, structural equation modeling and classification methods.
- Knowledge of computer science concepts including data structures and algorithms; experience programming with a high-level language like Python, Julia or C++.
- Basic understanding of geographic information systems (GIS), qualitative data analysis and survey research methods.
- Experience submitting batch jobs on high performance computing systems a plus.
Note: Applicants must be eligible to work in the United States without requiring sponsorship.
Archived on: 2013-08-31