Postdoctoral Research Associate - Computer Science (multiple positions)

University of Massachusetts Lowell•Lowell, MA

2d•Hybrid

About The 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. 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, and collaborative publication and grant development. This position offers strong mentorship, access to national VA data resources, and opportunities for independent research development.

Requirements

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

Nice To Haves

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

Responsibilities

Lead and contribute to research identifying risk factors and protective factors for diseases and clinical outcomes using the National VA longitudinal EHR system.
Integrate advanced AI/ML methodologies with rigorous epidemiologic study design.
Translate complex EHR-derived data into clinically meaningful insights.
Collaborate on publication and grant development.
Conduct independent research development.