People Analytics Intern, PhD, Summer 2022

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Job Description

Please complete your application before February 25, 2022.

Participation in the internship program requires that you are located in the United States for the duration of the internship program.

Join us for a full-time, 12-14 week internship during Summer 2022 with start dates in May or June.

To apply, you must submit all of the following materials:

  • Updated resume - please include the relevant graduation dates (M/YY), coding language(s) along with any technical experience or projects. Elaborate on current research topics, statistical skills, experience analyzing survey data, relevant work experience, and recent publications/presentations
  • Transcript - unofficial or official; must be in English.
  • Please also note whether you will have completed your comprehensive/qualifying exams by May 2022.

Please note, if selected to move forward, you will be asked to provide a 1-2 presentation slides explaining some of your research/findings and why the findings might be useful to Google. Please prepare these slides for a business (i.e., non-academic) audience. Include visual representations of your results.

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Mountain View, CA, USA; Atlanta, GA, USA; San Francisco, CA, USA; Boulder, CO, USA; Austin, TX, USA; Chicago, IL, USA; New York, NY, USA; Seattle, WA, USA.
Remote location(s): California, USA.


Minimum qualifications:

  • Advanced Doctoral (PhD) student (i.e., you have completed three years of study and your comprehensive exams, but have not completed your dissertation) who is enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology or a related field.
  • Experience designing, developing and conducting rigorous survey and/or experimental research.
  • Experience analyzing and manipulating data in R, SPSS, STATA, and/or other statistical languages.

Preferred qualifications:

  • Experience conducting applied research in organizations.
  • Topical experience in one of the following areas: performance management, individual and team-level performance and productivity, individual difference (e.g., personality traits, behaviors, well-being), DEI (diversity, equity, and inclusion), selection and assessment (including relevant psychometric methods), decision science and behavior change, or quantitative text analysis.
  • Experience with statistical analyses, including fundamentals (e.g., ANOVAs and/or regressions) and with one or more advanced approaches (e.g., factor analysis, network analysis, HLM, SEM).
  • Experience using R for statistical analysis and data visualization.
  • Returning to a degree program after the internship ends.
  • Available to work full time for a minimum of 12 weeks outside of university term time.

About the job

We are a group of social scientists who conduct experimental, survey, and archival research to inform people-related business decisions. Example content areas include, but are not limited to: decision making, DEI (diversity, equity and inclusion), leadership, employee well-being, hiring, performance management, performance development, personality, longitudinal data analyses, and social networks. We have strong research backgrounds, with Ph.D.s in I/O Psychology, Organizational Behavior (micro & macro), Sociology, Social Psychology, Anthropology, Behavioral Economics, and related fields. To read more about some of our work, see a selection of our research here ( and check out this article in the New York Times Magazine (, this one in Slate Magazine (, or this one in The Atlantic (

Additional Information
(Colorado only*) Minimum salary of $74,000.
*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.


  • Work with the People Analytics team to design and implement new studies, analyze data and report on results of research initiatives to a business audience.
  • Communicate findings and recommendations to influence leaders to take action on the results.
  • Write research briefs.
  • Conduct statistical analysis (e.g., correlation, regression, factor analysis, T-test, ANOVA) using survey and archival data with analyses conducted in R.

Company Info.


Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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