Postdoctoral.Associate - Biostatistics and Health Data Science

Responsibilities

• Conduct methodological and applied research addressing statistical challenges arising from complex neuroimaging and healthcare data.
• Research will span theoretical investigation, methodological development, computational implementation, and real-world applications.
• Areas of particular interest include federated and distributed learning, statistical data integration, evidence generation with real-world data, data harmonization, multimodal data analysis, and related topics, with applications to large-scale neuroimaging and clinical data, including electronic health records.
• Work closely with Dr. Qiong Wu while having flexibility to pursue new research directions aligned with their interests and to contribute to ongoing research projects.
• Lead and contribute to methodological and applied research manuscripts, develop reproducible computational tools and software, and collaborate with multidisciplinary investigators on biomedical research projects.

Qualifications

• PhD or equivalent in Biostatistics, Statistics, Data Science, or a closely related quantitative field by the start date.
• Strong training in statistical methodology and computational and programming skills, preferably in R and/or Python.
• Excellent written and oral communication skills, the ability to conduct independent research, and the ability to work effectively in interdisciplinary collaborations are required.
• Experience or interest in federated and distributed learning, statistical data integration, causal inference, or related methodological areas, as well as in developing and applying statistical methods for neuroimaging and real-world health data, is preferred.