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Research Culture: A survey of new PIs in the UK

  1. Sophie E Acton  Is a corresponding author
  2. Andrew JD Bell  Is a corresponding author
  3. Christopher P Toseland  Is a corresponding author
  4. Alison Twelvetrees  Is a corresponding author
  1. University College London, United Kingdom
  2. University of Sheffield, United Kingdom
Feature Article
Cite this article as: eLife 2019;8:e46827 doi: 10.7554/eLife.46827
10 figures and 2 additional files

Figures

Figure 1 with 2 supplements
Overview of cohort demographics.

(A) 83% (302/365) of respondents classified themselves as being in the Life Sciences (LifeSci); 16% (59/365) were in the Physical Sciences and Engineering (Ph/Eng); and 1% (4/365) were from in the Social Sciences and Humanities (Soc/Hu). (B) 56.7% (207/365) of respondents were men; 41.6% (152/365) were women; and 1.6% (6/365) were ‘Prefer not to say’. (C) 51% (185/365) of respondents were from the UK; 31% (113/365) were from other EU countries; and 18% (67/365) were from the rest of the world (Non EU). (D) 84% (305/365) of respondents were white. (E) 51% (180/355) of respondents had between five and seven years of postdoc experience prior to independence. Consequently, the majority of respondents were in their mid-thirties at the time they became new PIs (see Figure 1—figure supplement 1); the most recent new PIs were the least likely to have dependents (see Figure 1—figure supplement 2).

https://doi.org/10.7554/eLife.46827.002
Figure 1—figure supplement 1
Age of respondents.

The mean age of respondents at independence was 34.

https://doi.org/10.7554/eLife.46827.003
Figure 1—figure supplement 2
Dependents, career breaks and work patterns.

(A) 53.2% (194/365) of respondents care for dependents. (B) 56% of women and 45% of men had taken at least one career break. The average career break was 10 months for women and 5 months for men. (C) Despite a majority of respondents having dependents to take care of, just 4 of the 365 respondents worked part-time in their position. (D) The most recent female appointees in our cohort were the least likely to have dependents, and the most established female appointees were the most likely to have dependents.

https://doi.org/10.7554/eLife.46827.005
Overview of cohort mobility.

An alluvial plot of cohort migration, where line width is proportional to the percentage of respondents. Colour corresponds to the nationality (UK; orange, Non-UK; blue) of participants as they move through their careers (PhD and postdoc training). 26.8% (98/365) of respondents had spent all their career in the UK, while 22.2% (81/365) had not worked in the UK before starting as a new PI in the UK.

https://doi.org/10.7554/eLife.46827.008
Figure 3 with 1 supplement
Satisfaction and optimism.

Participants were asked to rate their satisfaction with their host department (Dept), host institution (Inst), lab space and access to facilities (Space&Fac) and support from their funder (Funder). Participants were also asked how they felt about their current work-life balance (W/L) and their optimism about their future career (Optimism). With the exception of work-life balance, more than 50% of respondents replied that they were satisfied or very satisfied.

https://doi.org/10.7554/eLife.46827.010
Figure 3—figure supplement 1
Optimism and work-life balance of subgroups.

(A) Having dependants did not affect optimism scores for new male or female PIs. (B) Lecturers were less positive about work-life balance than fellows.

https://doi.org/10.7554/eLife.46827.011
Initial recruitment.

(A) 75% (234/311) of respondents were from Russell Group universities, and a majority of these recruits (64%; 149/234) were brought in as research fellows (top). 25% (77/311) of respondents were from outside the Russell Group, and a majority of these recruits (60%; 46/77) were brought in as lecturers (bottom). (B) 35% (108/311) of respondents were required to have secured a major grant or fellowship in order to take up their position: 52% (94/182) of fellows were expected to have secured such funding, compared with just 11% (14/129) of lecturers. (C) Some respondents (mostly research fellows) had secured more than £1 m in external grant funding when they started as a new PI.

https://doi.org/10.7554/eLife.46827.014
Figure 5 with 1 supplement
Gender comparisons in pay and grant income.

All plots are expressed as the percentage of respondents within each category. (A) Grant success versus year of independence (12 = 2012, and so on). (B) Half of the male respondents had received three or more grants since starting; half of the female respondents had received two or more. (C) Grant values (expressed in £m) for new PIs who started in 2012–13, 2014–16, and 2017–2018. (D) The self-reported salaries of new PIs at the time they were appointed show a substantial gender pay gap.

https://doi.org/10.7554/eLife.46827.016
Figure 5—figure supplement 1
Starting salaries.

(A) Lecturers were appointed on lower starting salaries than fellows. (B) Women started on lower pay grades than men.

https://doi.org/10.7554/eLife.46827.017
Teaching and administration load.

All plots are expressed as the percentage of respondents within each category. (A) Almost all (119/121) new PIs appointed as lecturers are expected to teach, along with 60% (100/167) of new PIs appointed as fellows. (B) Lecturers generally have much higher teaching loads than fellows, and women have more contact hours assigned than men (both as lecturers and fellows). (C) Women were expected to contribute to more committees than men.

https://doi.org/10.7554/eLife.46827.020
Mentorship and optimism.

Women with mentors were more optimistic about the future than women without mentors. Men with mentors were a little more optimistic about the future than men without mentors.

https://doi.org/10.7554/eLife.46827.022
Figure 8 with 1 supplement
Start-up funds.

Female respondents received an average of £31 k (red line; top panel) in start-up funds, whereas men received an average of £45.6 k (red line; bottom panel.

https://doi.org/10.7554/eLife.46827.024
Figure 8—figure supplement 1
Proleptic appointments.

(A) 70% (140/200) of research fellows did not have a proleptic appointment. (B) 36% (59/164) of research fellows did not know when to expect an interview for a propleptic appointment.

https://doi.org/10.7554/eLife.46827.025
Building a research group.

PhD students currently supervised (A), postdocs currently supervised (B), presence of a research assistant or technician (C) and current size of research group (D) for lecturers (men and women) and research fellows (men and women). Responders were asked to include undergraduates and master’s students when reporting the size of their research group. All categories are expressed as the percentage of respondents within each category.

https://doi.org/10.7554/eLife.46827.028
Recruitment of men and women by year.

The gap between the number of men and women appointed as new PIs seems to have narrowed in recent years (with the gap being eight in 2012 and just one in 2017 and 2018), with the very noticeable exception of 2013, when 47 men and 21 women were appointed. A possible explanation for this is discussed in the text.

https://doi.org/10.7554/eLife.46827.030

Data availability

Summary data analysed in this study are included in the manuscript and supporting files.

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