Leaving academia: Insights from evolutionary biologists on their career transitions and job satisfaction
Data files
Oct 17, 2025 version files 999.76 KB
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01_demographics.Rmd
5.71 KB
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02_non_academic_LeavingAcademia_when.Rmd
7.23 KB
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03_non_academic_LeavingAcademia_why.nb.Rmd
5.08 KB
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04_non_academic_LeavingAcademia--how.Rmd
8.93 KB
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05_Skills_match.Rmd
16.96 KB
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06_satisfaction.Rmd
6.86 KB
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07_career_now.Rmd
9.62 KB
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08_liked.best.leastQs.Rmd
4.81 KB
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README.md
2.54 KB
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summarised_data_reformatted.xlsx
33.38 KB
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survey.pdf
898.64 KB
Abstract
Many who have obtained PhDs in evolutionary biology will ultimately pursue careers that fall outside a narrow definition of an academic career. At the same time, PhD students and supervisors of PhD students are often ill-informed about career options outside of academia. Here, we report on a survey of evolutionary biologists who have pursued non-academic careers to understand what careers they pursue, how they transitioned into those careers, how well prepared they were, and how satisfied they are with their current work. Overall, the message from this survey is positive– evolutionary biologists are readily employable outside of academia, generally well-prepared for those jobs, and report high levels of satisfaction in their non-academic careers. We also highlight areas where preparation for non-academic careers could be improved, which might be addressed by individual mentors or PhD training programmes.
Dataset DOI: 10.5061/dryad.cc2fqz6km
Description of the data and file structure
The Excel spreadsheets contain summarised answers to an anonymous survey asking questions of evolutionary biologists who have left the academic career track
The questions are available in a separate PDF.
The code used to analyse data and create figures was written by Andrea Betancourt and is given in R notebook format.
Files and variables
File: summarised_data_reformatted.xlsx
Description: summarised answers to an anonymous survey asking questions of evolutionary biologists who have left the academic career track
File: survey.pdf
Description: Questions asked of respondents.
File: 01_demographics.Rmd
Description: Analysis of data on characteristics of surveyed populations, such as gender and country of origin.
File: 02_non_academic_LeavingAcademia_when.Rmd
Description: Analysis of data on career stage and time since respondents left the academic career track; used to produce Figure 1 in the publication.
File: 04_non_academic_LeavingAcademia--how.Rmd
Description: Analysis of data on non-academic job searches; used to produce Figure 2 in the publication.
File: 03_non_academic_LeavingAcademia_why.nb.Rmd
Description: Analysis of reasons for leaving the non-academic career track.
File: 05_Skills_match.Rmd
Description: Analysis of the match between skills acquired during training and those used in non-academic careers; used to produce Figures 4 and 5.
File: 07_career_now.Rmd
Description: Analysis of key features of non-academic jobs held by respondents; used to produce Figure 3.
File: 06_satisfaction.Rmd
Description: Analysis of satisfaction in academic and non-academic careers; used to produce Figure 6A.
File: 08_liked.best.leastQs.Rmd
Description: Analysis of factors affecting satisfaction in academic and non-academic careers; used to produce Figure 6B.
Code/software
R notebooks were run in R v. 4.4 and used the following libraries:
tidyverse
ggh4x
RColorBrewer
forcats
ghibli
grid
gridExtra
ggnewscale
ggvenn
ggpubr
MASS
tidyverse
RColorBrewer
XLConnect
Human subjects data
Survey responses were anonymized, and are given here only in summarized form so that there is no possibility of identifying an individual respondent.
