Title Senior Research Scientist
School Faculty of Arts and Sciences
Department/Area The Institute for Quantitative Social Science (IQSS)
The IQSS Senior Research Scientist for Data Science and Product Research is a
key advisor on the research agenda and strategic direction for IQSS' research
software product and services. The person in this position contributes to the
intellectual pursuits of Professor Gary King's and IQSS's research programs
and is responsible for helping define products by maintaining a comprehensive
understanding of open science, data science, and corresponding technical
advancements, market, user needs, and competitive dynamics as well as
participating as a key contributor to the slate of federal and foundation-
funded research that underpins IQSS' work.
In particular, the responsibilities of this position include the following
Provides academic direction, technical architecture guidance and
management oversight, as either PI or co-PI, on complex data intensive
initiatives. Seeks external research support on a continuing basis.
Manages the IQSS Data Science and Product Research Team including Data
Curation, Data Science Services, and Research and Development, which
includes the following:
staff research scientists, including data research scientists
data curation, management and archival specialists and
Participates in scholarly, collaborative, and outreach activities offered
by IQSS, including establishing and managing collaborations.
Participates in international and national efforts to develop and improve
scholarly norms and policies relevant to IQSS' projects through which IQSS
multiplies its efforts and outcomes.
PhD in Social Science, Computer Science, Data Science or related field
A minimum of 10 years of postdoctoral experience
Technical knowledge of file systems architecture, storage and management
Strong working knowledge of international, federal, and state data privacy
and management regulations.
Expert in research data management, the data management life cycle, data
citation and data standards.
Ability to comprehend and translate technical information and issues and
apply to business solutions.
History of cultivating a collaborative strategy, with the ability to
establish and maintain strong relationships, to influence others, and move
toward a common vision or goal.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills and the ability to work
with people of all levels of technical ability.
To apply, please send cover letter, curriculum vitae, statement of research
interests, and two recommendation letters. All recommendation letters should
be from experts at the ladder faculty ranks. This information is required in
order for your application to be accepted. Only applications that include
all required information and documents will be considered.
Review of applications will begin immediately and end when the position is
Contact Email firstname.lastname@example.org
Equal Opportunity Employer
Harvard is an equal opportunity employer and all qualified applicants will
receive consideration for employment without regard to race, color, religion,
sex, national origin, disability status, protected veteran status, gender
identity, sexual orientation, pregnancy and pregnancy-related conditions or
any other characteristic protected by law.
Minimum Number of References Required 2
Maximum Number of References Allowed
Required fields are indicated with an asterisk ().
Statement of Research
Statement of Teaching Philosophy
Proposed Course Description
Writing Sample 1
Curriculum Vitae 2
Curriculum Vitae 3
Writing Sample 2
Writing Sample 3
Mentor Agreement Form
Dissertation Table of Contents
Diversity, Inclusion, and Belonging Statement
Statement of Teaching and Mentorship
List of Courses Taught
Course Evaluation 2