20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You might split time between desk work and field tasks. Mornings can be writing or editing survey proposals and testing questions in Microsoft Word or Word documents; afternoons often involve running data checks in Microsoft Excel or IBM SPSS Statistics and meeting the team on Microsoft Teams.
Several days a month could be in the field training data collectors or running surveys yourself, recording measurements and documenting operations. Evenings may include making PowerPoint slides that summarize findings for funders or collaborators.
Expect to use Microsoft Excel for cleaning and organizing survey data and Microsoft Word for proposals and documentation. IBM SPSS Statistics is common for running tests, descriptive stats, and addressing sampling or nonresponse issues.
You will also use Microsoft PowerPoint to summarize findings visually and Microsoft Teams to collaborate with team members and coordinate data collection or recruiters.
According to the U.S. Bureau of Labor Statistics (BLS) for 2025, 8,290 people are employed in this occupation. The median annual wage is $69,460. The lowest tenth earn about $39,260 and the top tenth about $130,860.
Pay varies by employer (universities, think tanks, marine labs), funding lines in grant proposals, and experience with survey methods and instrument calibration.
Start with basic statistics and survey methods: learn sampling, question design, and how to test questions for clarity. Practice collecting and cleaning datasets in Microsoft Excel and run basic analyses in IBM SPSS Statistics.
Get experience writing proposals and documenting operations in Microsoft Word. If the work has a marine angle, learn how to operate and calibrate surveying instruments and record measurements safely.
Compared with a social science survey researcher, a philosophy research fellow will focus more on conceptual design, ethics of questions, and argument in proposals, but still uses the same practical tools: Excel, SPSS, Word, PowerPoint, and Teams.
Compared with a marine surveyor, this job may include fewer hours operating physical instruments or mapping environments, though some positions require mapping, underwater surveys, instrument calibration, and collecting scientific data. Read the job posting to see which mix it requests.
You can use AI to draft question text, summarize literature, or suggest visualizations, but always check AI output against your methods. Test every AI-suggested question for clarity with real respondents and pilot tests, and document adjustments in Word.
For analysis, do not let AI replace statistical checks in Excel or SPSS. Keep raw data auditable, record decisions about sampling and nonresponse, and follow ethical standards for consent and data storage.
Practical data hygiene: consistently labeling files, documenting survey operations, and keeping clean Excel datasets matters more than flashy theory. Small errors in recording survey measurements or instrument calibration can ruin results.
Also, clear writing and visual summaries in Word and PowerPoint are crucial. If you can explain complex sampling issues or nonresponse problems simply, you will stand out.