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Postdoctoral Associate

The Ding Lab is seeking a postdoctoral associate to develop statistical and machine-learning methodology for complex biomedical data — with emphasis on survival analysis, precision medicine, and deep learning for high-dimensional and multi-omics data.

The position is supported by NIH funding and offers close mentoring, strong computational resources, and active collaborations across ophthalmology, neuropsychiatry, and pediatric health.

Qualifications. A Ph.D. (completed or near completion) in biostatistics, statistics, computer science, or a related field; a solid methodological foundation and strong programming skills in R and/or Python; and a record of, or clear potential for, methodological research.

To apply. Email Ying Ding with your CV, a brief statement of research interests, and the names of two or three references. Applications are reviewed on a rolling basis until the position is filled.

The University of Pittsburgh is an Affirmative Action / Equal Opportunity employer.