[Jobs] Fwd: Job posting: Research Computer Specialist for the American National Election Studies (ANES)

[Leora Lawton]

*From:* David Howell [mailto:dahowell at umich.edu]
*Sent:* Wednesday, November 29, 2017 8:49 AM



The American National Election Studies (ANES) is seeking a Research
Computer Specialist to join its staff at the University of Michigan.



Applications are due by December 10th at the University of Michigan
website: http://careers.umich.edu/job_detail/150208/
research_computer_specialist



A description of the job is found below my signature in this email.  Please
feel free to distribute the posting to interested individuals and lists.



I'm happy to answer questions about the position if persons contact me
directly.



Thanks,

-Dave

-- 

David Howell
Associate Director, Center for Political Studies (CPS)
Director of Studies, Comparative Study of Electoral Systems (CSES)

Institute for Social Research
University of Michigan

734-936-1774 <(734)%20936-1774> (United States)



Job Summary



The American National Election Studies (ANES; www.electionstudies.org) is
seeking a Research Computer Specialist at the University of Michigan, Ann
Arbor to provide support in the areas of data management, programming,
research, and technology in a small, highly skilled team environment. The
position offers challenging work and opportunities for professional and
personal growth.  Compensation for this full-time position includes a
salary anticipated to be within the range of $70,000-$90,000 annually, to
be determined based on skills and experience, as well as the University of
Michigan staff benefits package.



Since 1948, the ANES has conducted nationally representative surveys before
and after each presidential election and disseminated the resulting data
products via its website as free, public goods.  The Research Computer
Specialist will translate questionnaires into instructions and
specifications suitable for an external data collection vendor to program
the survey instrument; conduct quality control, testing, and
troubleshooting during survey programming and data collection; use
statistical and other software to extract, process, clean, merge and
document survey data, administrative information, contextual data,
metadata, and paradata; program, debug, and document standalone and
web-based applications for collecting user content suggestions,
questionnaire development, and dynamic website content; produce data and
visualizations for presentation on the website; participate in user
support; ensure adherence to project quality guidelines and deadlines; make
recommendations regarding and participate in the implementation of best
practices and innovation; mentor, train, cross-train, and delegate to other
employees; and other tasks as assigned.



Required Qualifications



The successful applicant will have seven or more years of experience in the
collection, processing, cleaning, and documentation of survey research
data;  expert-level knowledge of one or more statistical packages such as
R, SAS, SPSS, and Stata; significant experience with database development
and manipulation including SQL and web programming; intermediate to
advanced experience in one or more programming languages such as ASP.NET
<http://asp.net/>, PERL, PHP, and Python; knowledge of basic statistics;
and intermediate to advanced experience programming and extracting data and
metadata from one or more survey data collection applications such as
Blaise. The study is seeking a dynamic, innovative, collaborative
individual that is an excellent communicator and comfortable working both
individually and as part of a team. A Master’s degree in the social
sciences, statistics, survey methodology, information science, or related
field, or an equivalent combination of education and experience, is
required.



Desired Qualifications



Other desirable skills and experience include: prior employment within an
academic research environment; formal training in or knowledge of political
science and the study of elections; knowledge of survey research
methodology; intermediate statistical knowledge; experience with sampling
and development of post-survey adjustment weights; prior experience with
data visualization and associated tools and software; experience with
formatting software tools such as LaTeX and Sweave; experience with markup
languages and/or the Data Documentation Initiative (DDI); project
management training; and prior use of shared online collaborative and
project management tools.



Additional Information



The University of Michigan, as an equal opportunity/affirmative action
employer, complies with all applicable federal and state laws regarding
nondiscrimination and affirmative action. The University of Michigan is
committed to a policy of equal opportunity for all persons and does not
discriminate on the basis of race, color, national origin, age, marital
status, sex, sexual orientation, gender identity, gender expression,
disability, religion, height, weight, or veteran status in employment,
educational programs and activities, and admissions.



The Institute for Social Research (ISR) at the University of Michigan seeks
to recruit and retain a diverse workforce as a reflection of our commitment
to serve the diverse people of Michigan, to maintain the excellence of the
university, and to ground our research in varied disciplines, perspectives,
and ways of knowing and learning.



U-M EEO/AA Statement



The University of Michigan is an equal opportunity/affirmative action
employer.
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