Description
The University of Arizona’s Center for Innovation in Brain Science (CIBS) is seeking a highly motivated Postdoctoral Research Associate (I/II) to join our interdisciplinary team advancing precision therapeutics for neurodegenerative diseases and women’s brain health.
The successful candidate will leverage large-scale clinical datasets (EHR, claims, biobank data), multi-omics to identify treatment response patterns, subtypes, and critical intervention windows that reduce neurodegenerative disease risk. This position will involve applying machine learning, deep representation learning, and real-world data modeling to stratify risk and optimize precision therapeutic intervention. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and collaboratively across teams.
Why join us?
- Work in a nationally recognized NIA-funded research center dedicated to transforming brain health across the lifespan.
- Collaborate with experts in neurology, computational biology, informatics, and translational science.
- Gain hands-on experience with cutting-edge AI/ML approaches, biomedical knowledge graphs, and multi-modal data integration.
Contribute to high-impact publications, grants, and translational research with direct relevance to precision therapeutics.
Thrive in a collaborative environment that values mentorship, career development, and innovation.
About CIBS:
The Center for Innovation in Brain Science at the University of Arizona is pioneering research that spans discovery, translational science, and clinical application. Our mission: Cure neurodegenerative diseases and bring precision medicine to brain health.
Requirements
- PhD in biomedical informatics, computational biology, neuroscience, computer science, or related fields.
- Strong skills in data science (Python/R), statistical modeling, AI and machine learning.
- Experience with biomedical datasets (EHR, omics, imaging) or interest in applying computational methods to neurodegeneration and precision medicine.
- Excellent communication, collaboration, and scientific writing skills.
