← Explore professions
Science
Postdoctoral Researcher
Based on 40 assessments · 2 from real users
22%
Low risk
Average realistic automation risk across all Postdoctoral Researcher profiles in the dataset.
Score spread
Distribution across 40 profiles.
Middle half of Postdoctoral Researchers score between 19% and 24%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Postdoctoral Researcher, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Attending and presenting at department seminars, journal clubs, and conferences
deep expertise
social element
29%
AA
5%
Conducting laboratory experiments or computational analyses to test research hypotheses
deep expertise
28%
DA
12%
Collaborating with lab members, supervisors, and external researchers on project planning and troubleshooting
deep expertise
social core
26%
AA
0%
Writing manuscripts, grant proposals, and research reports for publication or funding
deep expertise
social core
7%
DD
17%
Literature review and staying current with developments in the field
3%
DD
51%
Analyzing and interpreting experimental data using statistical software and visualization tools
1%
DD
63%
Mentoring graduate students or undergraduates in experimental techniques and methodology
deep expertise
social core
1%
AA
4%
Writing manuscripts, grant proposals, and research reports for publication or funding
deep expertise
social core
25%
DD
14%
Conducting laboratory experiments or computational analyses to test research hypotheses
deep expertise
23%
DA
12%
Analyzing and interpreting experimental data using statistical software and visualization tools
17%
DD
60%
Mentoring graduate students or undergraduates in experimental techniques and methodology
deep expertise
social core
10%
AA
0%
Attending and presenting at department seminars, journal clubs, and conferences
deep expertise
social core
9%
AA
1%
Literature review and staying current with developments in the field
7%
DD
44%
Collaborating with lab members, supervisors, and external researchers on project planning and troubleshooting
deep expertise
social core
5%
AA
1%
Analyzing and interpreting experimental data using statistical software and visualization tools
31%
DD
87%
Conducting laboratory experiments or computational analyses to test research hypotheses
25%
DA
21%
Writing manuscripts, grant proposals, and research reports for publication or funding
deep expertise
social core
17%
DD
18%
Attending and presenting at department seminars, journal clubs, and conferences
deep expertise
social core
11%
AA
0%
Literature review and staying current with developments in the field
7%
DD
48%
Collaborating with lab members, supervisors, and external researchers on project planning and troubleshooting
deep expertise
social core
6%
AA
2%
Mentoring graduate students or undergraduates in experimental techniques and methodology
deep expertise
social core
0%
AA
7%
Save & share
