Postdoctoral.Associate - Biostatistics and Health Data Science

University of Pittsburgh • Pittsburgh, PA

3d

About The Position

The Department of Biostatistics and Health Data Science at the University of Pittsburgh School of Public Health is seeking a highly motivated Postdoctoral Associate to work with Dr. Qiong Wu on methodological and applied research at the intersection of biostatistics, data science, and biomedical research. This position is supported by NIH-funded research projects and offers opportunities to develop innovative statistical methodology and conduct scientific research using large-scale neuroimaging and real-world health data. The successful candidate will have opportunities to lead and contribute to methodological research projects, pursue independent research directions aligned with their interests, and collaborate with interdisciplinary investigators across the University of Pittsburgh and partnering institutions.

Requirements

• PhD or equivalent in Biostatistics, Statistics, Data Science, or a closely related quantitative field by the start date.
• Strong training in statistical methodology.
• Computational and programming skills, preferably in R and/or Python.
• Excellent written and oral communication skills.
• Ability to conduct independent research.
• Ability to work effectively in interdisciplinary collaborations.

Nice To Haves

• Experience or interest in federated and distributed learning.
• Experience or interest in statistical data integration.
• Experience or interest in causal inference.
• Experience or interest in developing and applying statistical methods for neuroimaging and real-world health data.

Responsibilities

• Conduct methodological and applied research addressing statistical challenges arising from complex neuroimaging and healthcare data, spanning theoretical investigation, methodological development, computational implementation, and real-world applications.
• Focus on areas such as federated and distributed learning, statistical data integration, evidence generation with real-world data, data harmonization, multimodal data analysis, with applications to large-scale neuroimaging and clinical data, including electronic health records.
• Lead and contribute to methodological and applied research manuscripts.
• Develop reproducible computational tools and software.
• Collaborate with multidisciplinary investigators on biomedical research projects.
• Build an independent research portfolio and prepare for the next stage of the candidate’s career.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree