- 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.
Knowledge, Skills, and Abilities:
- Deep understanding of data science, AI/ML, and bioinformatics applications in biomedical research.
- Experience working with large EHRs, claims, or omics datasets.
- Ability to conduct research independently and within a team.
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