Research Associate Professor or Research Professor - Social Science Statistics
Company: University of Texas at Austin
Location: Austin
Posted on: April 16, 2024
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Job Description:
DescriptionThe Departments of Sociology and Psychology, in
partnership with the Population Research Center (PRC) at The
University of Texas at Austin, invite applications for the position
of non-tenured Research Associate Professor or Research Professor
in the area of social science statistics. The position's purpose is
to lead a newly conceived Social and Behavioral Statistical and
Data Sciences (SBSDS) Hub housed within the PRC. Although it is
expected that the SBSDS Hub Director will be hired into the either
the Department of Sociology or Psychology, the position's ultimate
academic home will be open to the most appropriate fit for the
scholar whose expertise and experience most closely match
programmatic need. This research faculty position, appointed on a
12-month basis, includes principal investigator (PI) status,
mentoring graduate students as appropriate, and interacting with
faculty with common or overlapping interests across the
university.
As part of the PRC, the SBSDS Hub is conceived as a
forward-thinking collaborative resource for data science for the
faculty, post-doctoral researchers, and students of the PRC. The
SBSDS Hub aims to provide strong quantitative and methodological
expertise, and to apply new methodologies as needed, critical to
advancing the PRC's research mission. It will also serve as a
methodological concierge-helping investigators identify
methodological needs-and in so doing will tap strong connections to
the university's rich scholarly community to advance basic and
translational science for the PRC.
As founding Director of the SBSDS Hub, job responsibilities will
include:
- Directing the day-to-day operations of the SBSDS Hub with regard
to assessment and triage of new projects, and tracking progress of
existing projects;
- Recruiting and overseeing graduate student and professional
(typically MS-trained) statistical experts who will work on
projects with PRC investigators;
- Playing key methodological roles in the design and conduct of
research studies and the analysis and interpretation of the ensuing
data in collaboration with PRC investigators; and
- Fostering a collaborative and collegial culture around
quantitative methodology in social science.
The PRC aims to provide outstanding research infrastructure
resources and sustain a dynamic interdisciplinary culture geared
toward facilitating the highest level of population-related
research among its faculty members, postdoctoral scholars, and
graduate trainees. The PRC supports research that moves well beyond
the bounds of traditional demography to the cutting edge of
population research. Underlying the work of the PRC is a foundation
that emphasizes:
- Fundamental attention to issues of social and economic
inequality, particularly by race/ethnicity, gender, and
socioeconomic status;
- Rigorous attention to, and application of, the most appropriate
and advanced methodological techniques; and
- An orientation toward federal and major foundation grant funding
and publication in top quality scientific journals.
Most PRC research is concentrated in four overlapping and
reinforcing thematic areas: Population Health and Well-Being;
Reproductive, Maternal, and Infant Health; Family Demography Human
Development; and Education, Work, and Institutions. Many PRC
researchers work in more than one of these overlapping and
reinforcing areas, and in collaborative, interdisciplinary
teams.QualificationsRequired qualifications:
- PhD (or related doctoral degree) in statistics, biostatistics,
economics, education, epidemiology, human development, psychology,
sociology, political science, or a closely related quantitative
area, with strong quantitative methodological training.
- Broad expertise in statistical methods and modern data science
tools and extensive experience in their applications in social
sciences population-based research.
Preferred qualifications:
- Several years of experience providing collaborative statistical
support to applications for funding and to funded projects at an
academic or research institution.
- Ability and demonstrated interest in collaborative research in
population-based social science investigation.
- Outstanding leadership skills.
- Supervisory experience.Application InstructionsPotential
applicants should contact search chair, Dr. Paul Rathouz, with any
questions about the position ( ). Applications will be accepted via
Interfolio. Applicants must submit (1) a cover letter (up to two
pages) that describes their interest in and fit with the position
as well as their methodological expertise and experience with
collaborative research, (2) a curriculum vitae, and (3) a list of
three referees (with email addresses). Interfolio will email the
referees directly with instructions on uploading letters of
recommendation.
Review of applications will begin September 30, 2023 and continue
until the position is filled. Salary is competitive and
commensurate with experience and qualifications. Position funding
is subject to budget availability.Equal Employment Opportunity
StatementThe University of Texas at Austin, as an equal
opportunity/affirmative action employer, complies with all
applicable federal and state laws regarding nondiscrimination and
affirmative action. The University 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, or veteran status in employment, educational programs and
activities, and admissions.
Keywords: University of Texas at Austin, Austin , Research Associate Professor or Research Professor - Social Science Statistics, Education / Teaching , Austin, Texas
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