Abstract
BACKGROUND
Analysis of salary data for health economics, outcomes research, and market access professionals in biopharmaceutical space plays an important role in hiring talent, benchmarking remuneration, and evaluating income discrepancies.
OBJECTIVES
To (a) identify predictors of annual base salary (ABS) for health economics, outcomes research, and market access professionals who participated in the 2017 Global Salary Survey by HealthEconomics.Com and (b) evaluate salary-related gender disparity among survey respondents.
METHODS
501 professionals from the HealthEconomics.Com global subscriber list participated in a survey that assessed salary, bonus, benefits, and job satisfaction in June 2017. Two multivariable regression models identified significant predictors of ABS for U.S. and non-U.S. regions separately. Analysis of variance determined interaction effects between gender, organizational size, job title, and people management responsibilities separately.
RESULTS
Of the 501 respondents, 385 were included in the analysis because they reported ABS. Median ABS for male (n = 117) and female (n = 111) U.S.-based respondents was $172,500 and $162,500, respectively. For male (n = 75) and female (n = 65) non-U.S.-based respondents, the median was identical at $92,500. Mean (SD) ABS between male ($180,534 [$77,755]) and female ($165,113 [$64,604]; t [226] = 1.62; P = 0.106) U.S. respondents was not significantly different. Mean (SD) ABS for male ($110,900 [$65,898]) and female ($98,039 [$48,639]; t [138] = 1.30; P = 0.196) non-U.S. respondents was not significantly different, as well. Multivariable regression models for U.S. and non-U.S. respondents accounted for 62.7% and 63.9% of variance in ABS (P < 0.001), respectively. In both models, significantly higher salaries were associated with professionals aged > 40 years; biopharmaceutical employment; having a PhD, PharmD, or MD; and having a job title of president or director (all P < 0.05).
CONCLUSIONS
After controlling for covariates, gender was not statistically significantly associated with ABS. Age, organization type, terminal degree, and job title were significant predictors of higher salaries inside and outside of the United States. Additional research should be conducted to increase generalizability of results, which were based on a convenience sample.
DISCLOSURES
No funding supported this research. Shah and Peeples are employed by HealthEconomics.Com, which administered the survey used in this study. The authors report no other potential conflicts of interest.
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