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# Overview

- **Company:** University Of Massachusetts Incorporated
- **Location:** Worcester, MA, United States
- **Salary:** $62,232.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Health Informatics, R (Programming Language), SPSS (Software), SAS (Software), Stata
- **Published:** September 27, 2026
- **Apply:** https://www.juju.com/job/21_01a0ad13-dfd3-74ae-ae4c-13bd5200d6c5

## About the Role

Quantitative Health Sciences' Division of Health Informatics and Implementation Science. Applicants with strong methodological, statistical, and quantitative experience are desirable. Individuals with doctoral degrees in psychology, public health, epidemiology, health sciences, health services research, or related fields are welcome to apply., PREFERRED QUALIFICATIONS:Applicants must be comfortable approaching patients in the ED and acute care setting. Experience in healthcare setting, either clinical or researchThe applicant will be working on multiple projects so flexibility is a mustOff-site travel will be required to UMass Memorial Community EDsExcellent interpersonal skills to interact with a diverse array of research participants, physicians, clinical staff, and other members of the research teamComputer proficiency (Word, Excel, email)Statistical experience (SAS, R, SPSS, STATA)Experience with implementing new interventions in healthcare settingsExperience with behavioral health and suicide prevention

## Description

This fellowship will focus on using best practices to translate evidence-based suicide prevention interventions into clinical practice across a range of healthcare settings. Fellows will participate in ongoing research and grant submissions, will complete pilot projects, have opportunities for publications and presentations using new and existing datasets, and will prepare mentored research grants (e.g., F32 or K99 to NIH, American Foundation for Suicide Prevention postdoctoral fellowship or early career awards, or other postdoctoral level awards). Current active research includes funding through NIMH, NIDA, SAMHSA, and others. Projects focus on implementing empirically supported treatments for suicide risk screening and prevention, substance abuse, and other behavioral health screening. Leveraging technology and health informatics to promote implementation is a cross-population theme. The fellow will have ample opportunity for additional training and experiences with Population and


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