Research activities include development of scalable data processing pipelines, automated quality assurance frameworks, multimodal data harmonization approaches, statistical and machine learning methodologies, and translational tools that facilitate clinically meaningful interpretation of complex biomedical datasets. Bachelor's degree in Biomedical Engineering, Computer Science, Data Science, Statistics, Neuroscience, Mathematics, Bioinformatics, or related quantitative fields, and 2-3 years of experience or an equivalent combination of education and experience required.