Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and development of new data science methods. Collaborates with principal investigators or study sponsors on high-level study design, data collection, data set analysis, protocol development, statistical analysis and inference, and report writing and presentations for internal and external audience. Leads development of complex analytical plans, creates systems for data monitoring, provides high-level statistical support, utilizes statistical software, creates research study reports, and contributes to manuscripts, grants, and scientific presentations. Adheres to all protocols.

The individual will develop and apply innovative machine learning methods for analyzing genetic, transcriptomic, proteomic, metabolomic, and clinical data from epidemiological cohorts, collaborate with a multidisciplinary team of researchers to investigate complex biological and epidemiological questions, and write up the research findings for publication in top-tier scientific journals and conferences

Generally sedentary

The University of Pittsburgh is an equal opportunity employer / disability / veteran.