SRC is a unique, world-renowned social science research center that conducts investigator initiated, survey-based research on theoretical and applied problems of social and scientific importance (please see our website): http://www.isr.umich.edu/src/.
The successful candidate will work closely with Jason Owen-Smith, Jinseok Kim, faculty collaborators from partner universities, and IRIS’ professional staff on projects to measure and analyze the impact academic research has on the development of scientific knowledge, individual scientists’ careers, and the health, prosperity and well-being of society.
The Assistant Research Scientist will be primarily responsible for data analyses, preparation of research papers, reports, and analytic datasets and will, with other faculty, oversee the work of relevant staff, student, and post-doctoral research analysts. They will be expected to contribute to the development, submission and completion of grant proposals for federal and non-federal research funders such as the National Science Foundation, National Institutes of Health, and the Alfred P. Sloan Foundation. While formal didactic teaching is not a component of this position, contributions to IRIS sponsored training workshops for research users and mentorship of student research assistants will be part of the work.
While we expect the Assistant Research Scientist to aid in the design and development of new projects related to IRIS’ intellectual mission, we currently have several active projects that the Assistant Research Scientist will contribute to, including:
Analyses of the effects early career awards such as NIH Ks have on the scholarly productivity and careers of faculty
Analyses of the effects paid undergraduate research experiences have on the later career and employment outcomes of STEM and non-STEM students
Analyses of the economic and scientific effects of large-scale cyberinfrastructure investments
Analyses of the COVID-19 pandemic’s effects on academic research
A Ph.D. in a social science, information science or related field,
Experience working with large scale restricted data using advanced computational and statistical methods (causal analysis, Bayesian analysis, network analysis)
Strong scientific computing and data management skills with a particular emphasis on collecting, cleaning, linking and documenting large analytic datasets
Familiarity with Python, R, SQL and other common tools for computational social science
Demonstrated experience with interdisciplinary collaboration and team science work
A working familiarity with research literatures pertaining to the science of science, science of team science, science and technology studies, higher education, network science or related areas of study
Commitment to reproducibility, privacy/confidentiality and data security
Excellent presentation and writing skills
Experience with developing and publishing tools for scientific computing through e.g. Python or R packages
Experience mentoring students in research
Methodological or other technical teaching in face-to-face or virtual settings
Experience designing, writing, and submitting research proposals to external funders
Interest in/experience with research communication to organizational or policy-making audiences
Internal Number: 197188
About University of Michigan
The Survey Research Center is a unique, world-renowned social science research center that conducts investigator initiated, survey-based research on theoretical and applied problems of great social and scientific importance.