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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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investigating the biology of brain and ovarian aging and the connections between reproductive aging, systemic health, and longevity. These projects will integrate large-scale human datasets, including the UK
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Health or other related disciplines with at least 2 years of post-bachelor’s work experience. Previous work experience in big data analysis, managing large databases of research projects relating to family
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ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing science, or a related field, combined with proven experience in managing research projects
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experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records of academic
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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the scientific design, oversight, and execution of the study while managing research staff and ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing
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experience with large database analyses and QA/QC. Advanced experience with coding Ability to communicate effectively, both verbally and in writing, and to provide information to scientific and research staff
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Posted on Tue, 05/26/2026 - 15:16 Important Info Faculty Sponsor First name: Michael Faculty Sponsor Last Name: Schumacher, PhD Stanford Departments and Centers: Pediatrics, Gastroenterology
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Medicine) Contribute to grant writing and interdisciplinary project development Required Qualifications: PhD in Human Computer Interaction, Information Science, Computer Science, Biomedical Informatics