Scientific Analyst II
University of Arizona, Tucson, AZ, United States
Position Highlights
The Center for Innovation in Brain Science (CIBS) at the University of Arizona is seeking a Scientific Analyst II to support data science research focused on neurodegenerative diseases, including Alzheimer's Disease (AD), Parkinson's Disease (PD), Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). The analyst will work with large-scale biomedical datasets, including UK Biobank, All of Us, Insight, and electronic medical records, to investigate the role of menopausal hormone therapy (MHT) and menopause on brain health, and to identify and evaluate drug repurposing candidates for neurodegenerative disease prevention and treatment. The position requires advanced expertise in data science, artificial intelligence, and machine learning to develop, apply, and interpret analytical pipelines that integrate multi‑modal clinical, genomic, and epidemiological data. This role directly contributes to the lab’s mission of translating large-scale data insights into actionable strategies for the prevention and treatment of neurodegenerative conditions. The primary deliverables of this role are computational pipelines, ML models, and exploratory data outputs.
About the Center
The Center for Innovation in Brain Science is an “all brains on deck
#J-18808-Ljbffr
The Center for Innovation in Brain Science (CIBS) at the University of Arizona is seeking a Scientific Analyst II to support data science research focused on neurodegenerative diseases, including Alzheimer's Disease (AD), Parkinson's Disease (PD), Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). The analyst will work with large-scale biomedical datasets, including UK Biobank, All of Us, Insight, and electronic medical records, to investigate the role of menopausal hormone therapy (MHT) and menopause on brain health, and to identify and evaluate drug repurposing candidates for neurodegenerative disease prevention and treatment. The position requires advanced expertise in data science, artificial intelligence, and machine learning to develop, apply, and interpret analytical pipelines that integrate multi‑modal clinical, genomic, and epidemiological data. This role directly contributes to the lab’s mission of translating large-scale data insights into actionable strategies for the prevention and treatment of neurodegenerative conditions. The primary deliverables of this role are computational pipelines, ML models, and exploratory data outputs.
About the Center
The Center for Innovation in Brain Science is an “all brains on deck
#J-18808-Ljbffr