Compensation of Academic Research Computing and Data Professionals
Compensation of Academic Research Computing and Data Professionals
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学术研究计算和数据专业人员的薪酬
DOI：
10.1145/3569951.3593599
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Stauffer, Ashley
中科院分区：
文献类型：
--
作者：
Maimone, Christina;Brown, Carrie;Grash, Kimberly;Reidy, Chris;Stauffer, Ashley
之前的研究发现，低薪酬水平是研究计算和数据（RCD）领域招聘和保留的障碍。为了更好地了解 RCD 薪酬的特点，2021 年对美国 RCD 专业人员的一项调查收集了 480 名全职、在职的 RCD 专业人员的薪资信息，其中包括 394 名在非医学学术机构工作的受访者。学术机构报告的薪资中位数为 90,000 美元（个人贡献者级别为 80,000 美元），受访者的职位级别、性别、种族、教育程度、经验年限和地理位置之间存在差异。虽然 RCD 职位需要结合研究和技术这两个领域的专业知识，但学术 RCD 专业人员的薪酬中位数低于这两个领域中任何一个领域的独立水平。研究还发现，学术 RCD 领域内的薪酬变化小于非学术技术行业或学术研究教员职位的变化，薪酬范围仅限于高端。与更广泛的劳动力市场相比，根据多年的经验和教育程度，受访者之间的薪酬差异较小。需要对更多 RCD 专业人士的数据进行进一步研究，以对 RCD 领域内的薪酬进行全面分析。
Previous work identified low compensation levels as a barrier to recruitment and retention in the Research Computing and Data (RCD) field. In order to better understand the characteristics of RCD compensation, a 2021 survey of RCD professionals in the United States gathered salary information from 480 full-time, currently-employed RCD professionals, including 394 respondents working at non-medical academic institutions. The median salary reported for academic institutions was $90,000 ($80,000 for individual contributor levels), with variation observed across respondents’ position levels, gender, ethnicity, education, years of experience, and geography. While RCD roles require a combination of expertise in two fields — research and technology — the median compensation for academic RCD professionals falls below that for either of these fields independently. The variation in compensation within the academic RCD field is also found to be less than the variation in the non-academic technology industry or for academic research faculty positions, with salary ranges limited at the upper end. Smaller differences in compensation between respondents based on years of experience and education were observed compared to the broader labor market. Further research with data from more RCD professionals is needed for a complete analysis of compensation within the RCD field.
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DOI：
--
发表时间：
2019
期刊：
Practice and Experience in Advanced Research Computing
影响因子：
--
作者：
N. Berente;S. Ahalt;James B. Bottum;D. Brunson;J. Cutcher;J. Howison;J. King;Henry Neeman;John Towns;Nancy Wilkins;Susan J. Winter
通讯作者：
Susan J. Winter
DOI：
--
发表时间：
2018
期刊：
影响因子：
--
作者：
N. Berente;J. Howison;J. Cutcher;J. King;S. Barley;John Towns
通讯作者：
John Towns
DOI：
10.1145/3491418.3530292
发表时间：
2022
期刊：
Practice and Experience in Advanced Research Computing (PEARC22
影响因子：
--
作者：
Chaudhry, Shafaq;Pazouki, Arman;Schmitz, Patrick;Hillery, Elizabett;Kee, Kerk
通讯作者：
Kee, Kerk
美国研究计算和数据 (RCD) 劳动力特征
DOI：
10.1145/3491418.3530289
发表时间：
2022
期刊：
PEARC '22: Practice and Experience in Advanced Research Computing
影响因子：
--
作者：
Maimone, Christina;Yockel, Scott;Middelkoop, Timothy;Stauffer, Ashley;Reidy, Chris
通讯作者：
Reidy, Chris
薪资调查
影响因子：
--
作者：
E. Robinson;C. Mee
通讯作者：
C. Mee