Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

University of Massachusetts Lowell

Postdoctoral Research Associate - Computer Science (multiple positions)

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
77
out of 100
Average of individual scores

Were these scores useful?

Job Description

General Summary of Position:
The successful candidate will lead and contribute to research that identifies risk factors and protective factors for a broad range of diseases and clinical outcomes using the National VA longitudinal EHR system. The Postdoctoral Research Associate will work within a highly collaborative, data-intensive environment integrating advanced AI/ML methodologies with rigorous epidemiologic study design. The Postdoctoral Research Associate will play a central role in translating complex EHR-derived data into clinically meaningful insights with direct relevance to Veteran health. Minimum Qualifications (Required): PhD in Epidemiology, Biostatistics, Public Health, or a closely related quantitative health discipline Strong background in longitudinal data analysis and observational study design Demonstrated experience working with electronic health record (EHR) data or other large administrative healthcare datasets Proficiency in statistical programming (e.g., R, SAS, Python, Stata) Track record of peer-reviewed publications
Additional Considerations:
The Postdoctoral Research Associate will be embedded within a multidisciplinary research team at UMass Lowell, with joint engagement at VA Bedford Healthcare System.
The environment emphasizes:
Integration of AI and epidemiology Large-scale, real-world longitudinal health data Translational research with direct clinical and public health impact Collaborative publication and grant development This position offers strong mentorship, access to national VA data resources, and opportunities for independent research development.
Preferred Qualifications:
Experience with causal inference methods (e.g., marginal structural models, target trial emulation, propensity score methods) Familiarity with machine learning methods applied to health data Experience working with VA data or other national healthcare systems Experience with high-performance or distributed computing environments Interest in interdisciplinary collaboration across computer science and clinical domains Special Instructions to
Applicants:
Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. This position is full-time, benefited and Grace union in grade PD. Anticipated salary based on qualifications within range. Minimum $50,000, 25th quartile $56,500 and midpoint of $63,000. This position is contingent upon funding, and is for one year contingent on productivity, successful performance, and the availability of funding. This position may be extended based on these contingencies. Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received. Please include a resume and cover letter with your application. Names and contact information of three references will be required during the application process.