Posted to IASSIST on: 2018-09-13
Employer: Princeton University Library
Employer URL: http://library.princeton.edu/
Princeton University Library seeks a Data Services Specialist to assist our world class researchers and play a critical role in academic research and instruction. The successful candidate will have the following responsibilities:
- Provide statistical and software consulting services for undergraduates, graduate students and faculty engaged in quantitative analysis of machine-readable data in a variety of academic disciplines, particularly economics, finance, politics, public policy, and sociology;
- Assist in the choice, application, and interpretation of quantitative methods, and with the use of statistical software needed to implement these methods;
- Retrieve/manipulate complex data from a variety of sources; transfer data between platforms for use in multiple computing environments; provide extracts/tables based on electronic data, including government census/survey data and public opinion polls;
- Engage in individual consultation and group instruction.
- Maintain web presence, including creation of documentation.
- Evaluate and design web-based access tools and end-user systems.
- Maintain efficient operation of the Data and Statistical Services (DSS) Lab and digital data archive.
- Process data and creates metadata for files in the data archive.
For more detail on Data and Statistical Services, see https://dss.princeton.edu/. The Princeton University Library is one of the world’s leading research libraries. It employs a dedicated and knowledgeable staff of more than 300 professional and support staff working in a large central library, 9 specialized branches, and 3 storage facilities. The Library supports a diverse community of 5,200 undergraduates, 2,800 graduate students, 1,200 faculty members, and many visiting scholars. Holdings include more than 10 million printed volumes, 5 million manuscripts, 2 million non-print items, and extensive collections of digital text, data, and images. More information: http://library.princeton.edu/
- Master’s degree and intermediate to expert experience with STATA and R.
- Strong background in computing and quantitative data analysis.
- Demonstrated ability and experience functioning successfully in a fast-paced environment with a strong service orientation.
- Advanced degree in a quantitative social science or equivalent experience.
- Experience in using complex machine-readable data; programming ability.
- Expert level Stata and R.
- Experience with qualitative data software.
- Strong econometrics background or familiarity with economic and/or financial data.
- Expertise with other statistical packages, particularly SAS, SPSS, and MATLAB.
Archived on: 2018-11-05