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Junior Research Assistant

Based on 10 assessments

29% Moderate risk

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

Raw potential
57%
Realistic risk
29%
Research benchmark ?
62%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Junior Research Assistants score between 26% and 31%.

0% 50% 100%
p10 · 25%
34% · p90
On-screen work 42%

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

In-person + screen 30%

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

Computer + action 7%

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

Fully in-person 21%

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

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

Task Time Type Exposure
Running standard lab protocols or experimental procedures under supervisor guidance
deep expertise social element
32% AA 0%
Organizing files, maintaining lab inventory, ordering supplies, and administrative coordination
19% AD 44%
Attending team meetings, presenting preliminary results, and receiving feedback from principal investigator
deep expertise
12% DA 5%
Literature review and academic database searching (PubMed, Google Scholar, subject-specific databases)
11% DD 57%
Writing summaries, preliminary reports, and annotating research findings for senior researchers
deep expertise
9% DD 19%
Data entry, cleaning, and formatting from experiment logs, surveys, or sources into spreadsheets/databases
8% AD 30%
Statistical analysis and data visualization using standard software (R, Python, SPSS, Excel)
6% DD 55%

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