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Postdoctoral Fellow - Google PiLab
Location: Mountain View, California
Application deadline: Open until filled
We are looking for a collaborative, enthusiastic, and curious researcher with expertise in
social network theory and methodology to join us for a 1- to 2-year postdoctoral fellowship
in the People Innovation Lab (PiLab). The fellow will work with the PiLab team to explore
and test questions related to team function and dynamics within Google, making use of
extensive archival data about Google employees and their workplace interactions. Second,
the fellow will propose a research agenda that builds on these data, with the possibility of
publication in peer-reviewed journals. The fellow will gain broad exposure to Google and its
operations, particularly to its People Operations (Human Resources) function.
Ideal candidates have studied Sociology, Management, Strategy, Organizational Behavior,
Industrial/Organizational Psychology, or a related field. Candidates must have completed all
degree requirements prior to starting. This position is open to candidates with research
interests as well as to those with practical/clinical interests. The position is fixed-term for
one year. While start date is flexible, priority will be given to candidates who can begin prior
to July 1. Competitive compensation will be offered.
The PiLab, part of Google’s People Analytics team, conducts academically rigorous research
on a broad array of issues facing Google, often in collaboration with external academics.
PiLab members hold Ph.D.s in I/O Psychology, Organizational Behavior (micro & macro),
Decision Science, and related fields. The broader People Analytics team provides critical
support to the business around issues of organizational health and is responsible for
harnessing Googler feedback to drive change. To read more about our work, see articles in
Slate Magazine (http://goo.gl/MZy4nv) and The Atlantic (http://goo.gl/JJSDm8).
Work with existing social network data to propose and answer hypotheses related to team
and organization functioning, dynamics and composition
Conduct advanced data analyses and manage large, complex data sets
Communicate findings and recommendations to leaders, technical and non-technical alike,
influencing them to take action on those findings
Play a pivotal role in developing and managing groundbreaking research that addresses
critical HR-related issues
Participate in the creation and operation of the PiLab's twice-yearly, longitudinal study, and
analyze data as relevant
Completion of the requirements for a Ph.D., including submission and defense of thesis,
prior to joining Google
Superior statistical, analytical and data management skills (facility with R , SQL and Python
a plus; training in these tools will also be made available)
Excellent communication skills, both written and verbal, to both academic and non-
Eager to work collaboratively in a fast-paced, rapidly changing environment
Proven ability to creatively solve problems and effectively juggle multiple projects
How to apply
Please send CV and statement of interest to Jennifer Kurkoski ([log in to unmask]).
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