People Analytics Intern, PhD, Summer 2027

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, leadership, employee well-being, hiring, performance management, performance development, personality, longitudinal data analyses, and social networks. We have strong research backgrounds, with PhDs in I/O Psychology, Organizational Behavior (micro & macro), Sociology, Social Psychology, Anthropology, Behavioral Economics, and related fields.

Responsibilities

• 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.

Requirements & Tech Stack

• Currently enrolled in a PhD program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology or a related field.
• Experience designing, developing, and conducting survey or experimental research.
• Experience analyzing and manipulating data in R, Python, SQL, or other statistical programming languages.
• English proficiency is a requirement.
• Participation requires being located in the United States for the duration of the internship program.

Qualifications

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
• Experience conducting applied research in organizations.
• Topical experience in one of the following areas: performance management, individual and team-level performance and productivity, individual differences (e.g., personality traits, behaviors, well-being), selection and assessment (including relevant psychometric methods), decision science and behavior change, or quantitative text analysis.
• Experience using R for statistical analysis and data visualization.
• Experience in SQL or other scripting languages and experience with future-proofing code to be long-lasting (e.g., detailed documentation).
• Experience with statistical analyses, including fundamentals (e.g., ANOVAs or regressions) and with one or more advanced approaches (e.g., factor analysis, network analysis, HLM, SEM).

Application Materials

• Updated CV or resume
• Current unofficial or official transcript in English
• PDFs preferred
• Resume should include relevant graduation dates (MM/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.
• Include when you completed your comprehensive/qualifying exams or the anticipated completion date (MM/YY).

If selected to move forward, you will be asked to provide 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.

Preferred Working Locations

• Mountain View, CA, USA
• Atlanta, GA, USA
• Chicago, IL, USA
• New York, NY, USA
• San Francisco, CA, USA