Job Title:Social Scientist (Science Resources Analyst)
Agency:National Science Foundation
Job Announcement Number:NCSES-2014-0002
This position is closed and no longer accepting online applications through USAJOBS.
The contents of the announcement can still be viewed.
/ Per Year|
|Friday, March 21, 2014 to
Monday, April 21, 2014|
SERIES & GRADE:
|Few vacancies in the following location(s):|
Arlington, VA View Map
Arlington, VA View Map
WHO MAY APPLY:
|Applications will be accepted from US Citizens. Recent changes in Federal Appropriations Law requires Non-Citizens to meet certain eligibility criteria to be considered. Therefore, Non-Citizens must certify eligibility by signing and attaching this Citizenship Affidavit to their application. Non-citizens who do not provide the affidavit at the time of application will not be considered.|
|Public Trust - Background Investigation|
About the Agency
Applicants wishing to apply for Social Scientist (Science Resources Analyst) AD-03 see job announcement NCSES-2014-0001.
The National Science Foundation (NSF) is seeking a candidate for a Senior Social Scientist/Science Resources Analyst within the Science and Engineering Indicators Program (SEI) in the National Center for Science and Engineering Statistics (NCSES), Directorate for Social, Behavioral and Economic Sciences (SBE), Arlington, VA.
SEI produces two Congressionally mandated reports and other analyses on a broad range of topics relating to science and technology (S&T) in the United States and globally. SEI analyzes and reports data in the following areas: K-12 mathematics and science education; higher education in science and engineering (S&E); the S&E workforce; U.S. and international research and development; innovation; outputs and influence of S&E research, including analyses of scientific publication patterns (bibliometrics); economic application of S&E knowledge; international competitiveness of knowledge intensive economies; and public attitudes towards and knowledge of S&T. SEI produces quantitatively based, policy neutral, policy relevant, and balanced analyses using a broad range of indicators. S&T policy makers in the federal government and elsewhere use SEI analyses and reports to understand the U.S. S&T enterprise in its global setting and to assess the strengths and weaknesses of the U.S. S&T and innovation systems.
For more information about NCSES and its Programs, please visit http://www.nsf.gov/statistics/.
- Background investigation.
- Preview questions at bottom of Qualifications & Evaluations--see tab above.
DUTIES:Back to top
As a Social Scientist (Science Resources Analyst) for the SEI program, you will be responsible for:
- Preparing a substantial portion of the Congressionally mandated Science and Engineering Indicators report, either as lead author of a specific chapter or major contributing author to two or more chapters.
- Preparing technical analyses and studies in one or more topic areas listed in the job summary. This involves applying sophisticated principles and techniques drawn from the fields of statistics, economics, and other relevant social science disciplines to devise and execute analytic strategies that extract and report significant findings from large and complex databases. It also involves developing appropriate study designs and managing projects to ensure successful completion.
- Identifying data sources and assessing their relevance and quality for illuminating patterns and trends in the U.S. and international S&T and innovation systems.
- Cultivating and maintaining contacts with national, international, and multinational organizations with a view to developing and maintaining comparability of U.S. and international data.
- Preparing and processing precise statements of work and other documents necessary for contract and grant competitions on topics for which you are responsible. Managing project awards in accordance with relevant regulations and policy.
- Working in a team setting with colleagues from other disciplines, including statisticians, survey managers, and other analysts, to bring together diverse perspectives on topics in your area of responsibility, build effective analytic strategies, and create improved indicators.
QUALIFICATIONS REQUIRED:Back to top
Candidates must have a Ph.D. in an appropriate field plus, after award of the Ph.D., six or more years of successful research, research administration, and/or managerial experience pertinent to the position; OR a Master’s degree in an appropriate field plus, after award of the degree, eight or more years of successful research, research administration, and/or managerial experience pertinent to the position. Applicants must possess knowledge of social science theories, perspectives, and analytical tools and demonstrated ability to use this knowledge to extract significant knowledge from quantitative data.
Appropriate fields would include social sciences, survey research, or other quantitatively oriented field with substantial course work or experience in research methodology and statistics.
Applicants must possess sufficient knowledge of statistics and survey research methodology to oversee the analysis of complex survey data. Applicants must possess expert knowledge of one or more of the topic areas listed in the job summary or demonstrate the ability to rapidly acquire such knowledge by leveraging pre-existing, related social science knowledge. Applicants must have or be able to rapidly acquire an in-depth understanding of the U.S. and international S&T policy context and the issues of concern to national policy makers. Applicants must be skilled in explaining in writing the major findings from analyses of quantitative data, the contextual information necessary to interpret these data, and the ways these data bear on issues of concern to national policy makers. This includes demonstrated ability to craft prose and graphics that are both generally accessible to educated, non-expert readers and usable by experts who need accurate technical information.
You will need to successfully complete a background security investigation before you can be appointed into this position.
You must meet eligibility and qualification requirements before 11:59 PM Eastern time on the closing date of the job announcement. You must answer all job-related questions in the NSF eRecruit questionnaire.
All online applicants must provide a valid email address. If your email address is inaccurate or your mailbox is full or blocked, you may not receive important communication that could affect your consideration for this position.
This Social Scientist position is in the bargaining unit.
HOW YOU WILL BE EVALUATED:
You will be evaluated on the extent and quality of your experience, education, and research relevant to the duties of the position. We strongly encourage you to specifically address the Quality Ranking Factors below. This will ensure that you receive full consideration in the evaluation process.
Quality Ranking Factors
1. Expert knowledge of social science theories, perspectives, and analytical tools and demonstrated ability to use this knowledge to generate significant findings from quantitative data. Expert knowledge of one or more of the topic areas listed in the job summary or demonstrated ability to rapidly acquire such knowledge by leveraging pre-existing, related social science knowledge. In-depth understanding of the U.S. and international S&T policy context and the issues of concern to national policy makers or demonstrated ability to rapidly acquire such an understanding.
2. Demonstrated experience in analyzing and authoritatively summarizing key findings from statistical, survey, and other quantitative data, preferably in the topic areas listed above. This includes sufficient knowledge of statistics and survey research methodology to oversee the analysis of complex survey data. This also includes demonstrated skill in presenting information in prose and graphics that are accessible to educated, non-expert readers but also usable by experts who need accurate technical information (i.e., to users of publications similar to S&E Indicators).
3. Demonstrated experience in working individually, as a team leader, and as a team member on major multidisciplinary analytical projects, working under tight and firm deadlines, and producing analysis products that are both policy relevant and policy neutral.
To preview questions please click here.