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Research Assistant

Based on 10 assessments · 1 from real users

33% Moderate risk

Average realistic automation risk across all Research Assistant profiles in the dataset.

Raw potential
65%
Realistic risk
33%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 10 profiles. Middle half of Research Assistants score between 30% and 36%.

0% 50% 100%
p10 · 28%
38% · p90
On-screen work 60%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 17%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 23%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Research Assistant, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Writing research reports, methods sections, and results summaries
deep expertise
23% DD 19%
Coordinating with research team and principal investigator (meetings, status updates, feedback incorporation)
deep expertise
23% AA 5%
Literature review and database searching (PubMed, Google Scholar, institutional databases)
16% DD 51%
Data collection and entry (surveys, experiments, observations into spreadsheets/databases)
deep expertise social element
15% AD 13%
Statistical analysis and data visualization (running analyses, creating charts/graphs)
7% DD 62%
Administrative tasks (scheduling, ordering supplies, maintaining lab notebooks, compliance documentation)
7% DD 65%
Lab work or fieldwork (specimen prep, equipment operation, sample collection)
deep expertise social element
7% AA 3%

Work as a Research Assistant? Map your specific role.

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