Staffing labs for optimal productivity

When building up their research groups, principal investigators (PIs) have to make decisions about who to staff it with. Should they tilt the balance toward graduate students? Postdocs? Technicians? The goal, of course, is to maximize productivity—and now a study quantifies the impact of each of these categories of workers on laboratories’ output.

For the PIs doing the hiring, ‘it’s not just larger is better.’

Using regression analysis, the authors found that the bigger labs in their dataset were more productive in terms of the overall number of papers published per year. For the average-sized laboratory in the study—roughly five postdocs, three graduate students, and two technicians—adding one lab member was correlated with an extra quarter publication. As lab size increased, productivity continued to go up but at a slower and slower rate. Once the lab size reached 25, adding new people was counterproductive.  

Not all new employees were found to have the same impact, however. An extra postdoc in an average-sized lab added 0.31 publications, whereas an extra graduate student meant only an extra 0.14 (bearing in mind that these are suggestive correlations with no clear implication of cause and effect). Among postdocs, postdoctoral fellows—those with actual fellowships—added more productivity than grant-supported postdocs did (0.29 versus 0.19). Extra technicians, the authors found, did not correlate with extra publications.

Liu and Conti separated out publications in SNC and looked at the likelihood of publishing in those high-impact journals over the duration of a year. Again, they found that the bigger labs published more often. In a lab of average size, hiring an extra lab member, irrespective of position, increased the likelihood that the lab would produce an SNC publication by 8%. For SNC publications, hiring more people started being counterproductive when the lab hit 22 staffers.

While graduate students had less apparent impact than postdocs on overall publication counts, they increased the likelihood of publications in these high-impact journals just as much as postdocs did. Furthermore, postdocs’ contribution to SNC papers was attributable entirely to postdoctoral fellows: Adding another employee-postdoc—one without a fellowship—did not increase the probability of an SNC publication at all. Technicians seem important, though, for SNC publications: Adding an extra technician in the average lab was equivalent to adding either a postdoc or a graduate student.

What are the study’s implications? For the PIs doing the hiring, “it’s not just larger is better,” Liu says. PIs “need to think about the composition, how … grad students, postdocs, and technicians … might make different contributions to the publication output,” he adds. “People at different training stages make different contributions … but it’s not that they’re less productive. They just have different productivity in different projects,” Liu argues. PIs may want to “think of it as portfolio management: If they only try very risky … home runs, that can be very dangerous, so they do need to try to balance between those types of publications.” Hence, a balance of different personnel types makes sense, he implies.

The study does not tease out the reasons behind the lab members’ differing contributions, but Liu is willing to speculate. As he sees it, graduate students may contribute more to breakthrough publications because they are in a better position to work on longer, riskier, and potentially more impactful projects. Alternatively, PIs may be able to sell graduate students on riskier projects, he adds, “because they like crazy stuff or they are naïve.” As for technicians, who show a productivity pattern similar to graduate students (for SNC journals), their condition as salaried support staff may allow them to work on high-risk projects that no one else is willing to take on or to drop their own tasks to help other lab members in a competitive race, Liu says.

What do other experts think about the study? “The econometric exercise is robust, though it accounts more for correlations than real causal phenomena,” Nicolas Carayol, a professor of economics at the University of Bordeaux in France, writes in an e-mail to Science Careers. “[C]ausality is not clear, since future outcomes may affect lab composition. When a PI has great research projects, he is more likely to need and to find resources to fund technicians and to attract [the] best postdocs (who are more likely to have fellowships).”

Labor economist Paula Stephan of Georgia State University in Atlanta welcomed the study, calling it “path breaking” for looking at productivity at the laboratory level. Stephan regrets, though, that the authors equated staff scientists with technicians when discussing potential policy implications in the paper. “What people like me have been advocating” is substituting long-term postdocs with Ph.D.-level staff scientists, Stephan tells Science Careers. “Technicians don’t have Ph.D.s, so I don’t think it informs the debate at all.”

One policy debate the study may contribute to, however, is whether the balance between postdoctoral fellows and employee-postdocs should be altered. The greater productivity observed for postdocs with fellowships “has a lot to do with selection and who they are,” but it may also have to do with the fact that they are carrying out an innovative and independent project in an established lab, Stephan says. The study seems to suggest “that these people who are funded for these small amounts of money and who are able to work in someone else’s well-endowed lab … are able to do somewhat risky research,” Stephan says. “And it’s probably pretty easy to fund really capable people with a great idea if you’re not having to give them very much money.” In recent years, the National Institutes of Health (NIH) “has not increased the number of fellowships very much … and it would certainly suggest that NIH might want to revisit its fellowship policy.” 

Liu adds that the results may not apply to less prestigious departments and other disciplines, and because the study looked at the level of the entire laboratory rather than individual members, it may be a stretch for young scientists to use the results to make career decisions.

Still, the study reiterates some important lessons. First, “for postdocs, fellowships are critically important,” Liu says. Also, he encourages aspiring postdocs, when deciding what group to join, to “pay attention to not just the PI, the research trajectory, [and] the status of the laboratory, which they know is important, but also to think closely about the composition, the internal environment within which they are going to spend many years of their lives,” he says.

For graduate students, a naïve or risk-taking attitude may be beneficial for their careers, he adds. They, too, should pay attention to lab composition—for example avoiding labs that are fully staffed by students, which provide no chance for knowledge spillovers from postdocs—after all, “diversity may be beneficial.”

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