The Data Analytics Science Analyst 2 will play a key role in supporting data-driven research into the neurobiology of depressive disorders. This position involves managing, cleaning, and analyzing complex multimodal datasets, including clinical, neuroimaging, behavioral, and digital health data. The analyst will apply a range of statistical and machine learning methods to uncover patterns related to mood regulation, treatment response, and underlying biological mechanisms.
Working closely with investigators, clinicians, and interdisciplinary collaborators, the analyst will contribute to study design, statistical planning, and the interpretation and communication of results. Responsibilities also include developing reproducible workflows, generating visualizations and reports, and contributing to grant proposals and scientific manuscripts. This role is ideal for someone with a strong quantitative background and a passion for advancing mental health research through data science.
MINIMUM REQUIRED QUALIFICATIONS
Bachelor's degree or equivalent experience. 2 years of relevant experience required. 2-4 years of relevant experience preferred.