Statistical software skills for master's-level jobs in epidemiology: an analysis of 15 years of job posting data.
Developing competency in statistical software is a core component of master's-level epidemiology training, but selecting a software package to prioritize in courses is a challenge. We used data from Lightcast to identify unique US job postings from January 2010-December 2024 with a preference or req...
| Publicado en: | American Journal of Epidemiology Vol. 196; no. 7; pp. 1859 - 1866 |
|---|---|
| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Jul2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195281088&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195281088 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029262 1X1 jtl: American Journal of Epidemiology issn: 00029262 maglogo: N pubinfo: dt: Jul2026 vid: 196 iid: 7 pid: 622 pub: Oxford University Press / USA artinfo: ui: 195281088 195281088 195281088 10.1093/aje/kwaf243 195281088 ppf: 1859 ppct: 7 formats: tig: atl: Statistical software skills for master's-level jobs in epidemiology: an analysis of 15 years of job posting data. aug: au: Goldmann, Emily Barnard-Mayers, Ruby Glymour, M Maria Healey, Megan A affil: Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, United States sug: subj: Competency Assessment Data Analysis Software Programming Languages Job Market United States Epidemiology Education, Masters United States Human Descriptive Statistics Insurance Government Hospitals Certification Sensitivity and Specificity ab: Developing competency in statistical software is a core component of master's-level epidemiology training, but selecting a software package to prioritize in courses is a challenge. We used data from Lightcast to identify unique US job postings from January 2010-December 2024 with a preference or requirement for a master's degree and "epidemiology" as a keyword to identify the most frequently mentioned specific statistical software skills overall and by industry. Of the 15 757 postings from 2024, SAS® Software was mentioned most frequently (26%), followed by R (22%), SQL (15%), Excel (14%), and Python (14%). SAS® mentions decreased in proportion from 40% in 2021 to 26% in 2024, while from 2010 to 2024 mentions increased for R (3% to 22%), Python (0% to 14%), and SQL (6% to 15%). In 2024, SAS® was the most commonly mentioned software in insurance (60%), government (28%), and hospital (17%) postings, R in pharmaceutical (21%) and academic (21%) postings. Postings commonly mentioned more than one statistical software package. While SAS® remains a commonly desired statistical software skill, R is increasing in relevance quickly, especially in key industries that employ master's-level epidemiologists. Students may benefit from training focused on versatility and adaptation to emerging trends. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|