Postdoctoral Research Associate I or II, Data Science; Center Innovation in Brain Science - CIBS

Job Description

The Center for Innovation in Brain Science (CIBS) is seeking a research scientist to lead and implement data-driven research focused on advancing Precision Menopausal Hormone Therapy (P-MHT) for women worldwide. Integrate and analyze large-scale human datasets, including electronic health records, claims data, and omics profiles, to identify treatment response patterns, subtypes, and critical intervention windows that reduce Alzheimer's risk Disease (AD) risk.

This position will involve applying machine learning, deep representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and collaboratively across teams.

• Conduct integration, analysis, and interpretation of large-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques.
• Develop and implement machine learning models, including unsupervised clustering and deep learning approaches, to identify precision treatment profiles and disease trajectories.
• Analyze research data and provide interpretations.
• Prepare manuscripts for publication and assist with grant applications.
• Present research findings at group meetings and national and international conferences.
• Graduate and undergraduate mentorship.
• Work collaboratively with other members and laboratories in CIBS.
• Additional duties as assigned.

• PhD in data science, biomedical informatics, computational biology, neuroscience, or related field.
• Demonstrated experience in analyzing real-world medical data and applying machine learning techniques.

• Demonstrated ability to independently prepare technical reports, visualizations, and manuscripts is preferred. Prior experience in neurodegenerative disease research, women's health, or pharmacogenomics is advantageous.

The University of Arizona is an equal opportunity employer and is committed to diversity and inclusion. We encourage applications from qualified candidates of all backgrounds.