Participant Information and Demographics

ABRF 2016 Annual Biomolecular Research Lab CensusChristopher M. Colangelo1 and Susan DeCourcey2

1Primary Ion, Old Lyme, CT; 2 Association Of Biomolecular Resource Facilities, Bethesda, MD

Thank you for participating in the ABRF Annual Biomolecular Research Lab Census Survey!! Visit www.abrf.org

IntroductionABRF conducted a census in June 2016 in effort to learn about salary and employment trends in the biomolecular research laboratory marketplace. 326 participants responded to the census with 95% of the responses coming for the United States. A multiple linear regression model was used to examine how a number of variables effect compensation, including job title, education level, race, experience, employer type, and geographic region. Comparisons between the 2016 data and the previous year are presented. The affects of other forms of compensation (e.g., bonuses, medical, dental, consulting, benefits) on base compensation rates were examined. Additional analyses explored the effect of the scientific discipline on compensation.

MethodsA 36 question Salary Census was created using Qualtrics. The survey was opened to the public on June 1, 2016 and closed on July 8, 2016. Survey results were exported as a csv file. Statistical analysis and plots were obtained using R (version 3.3.3). Multiple linear regression models were used and statistically significant values are represented as *p < 0.05, ** p < 0.01,, *** p<0.001

AcknowledgementsWe would like to thank the ABRF Executive Board for their support in helping develop the questionnaire.

2016 Salary Survey Results

y = 3088821 -1521.0 x

Gender Comparisons

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A. Salary ~ Degree B. Salary ~ Race C. Salary ~ Region

D. Salary ~ Job title E. Salary ~ Employer Type

F. Salary ~ Scientific Discipline G. Salary ~ Birth Year

2015 Salary 2016 Salary

Salary ~ Degree*Gender

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Salary difference between Male and Females showed a salary gap but was not statistically significant in our linear models. Multiple other conditions with gender as a factor were tested but all were not significant.

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Median83,723 92,060 88,176 96,678

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