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.

Please complete your application before February 26, 2027.

Applications will be reviewed on a rolling basis and it’s in a candidate’s best interest to apply early.

Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role. 

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

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

• Updated resume - please include the 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. 
• Please include when you completed your comprehensive/qualifying exams or the anticipated completion date (MM/YY).
  
• Transcript - unofficial or official; must be in English.

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.

Minimum qualifications:

• 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.

Preferred 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).
  

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.