Data Scientist IV

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. GSPH-Epidemiology Essential Functions Lead the management, integration, and quality assurance of large-scale analytic datasets, collaborating with data managers at partner institutions to ensure consistency, harmonization, and reproducibility across sites. Design and implement sophisticated statistical analyses, including multilevel/hierarchical modeling, longitudinal analyses, and spatial methodologies to address complex research questions. Contribute to and help drive peer-reviewed publications, including drafting and refining statistical analysis sections and ensuring methodological rigor. Partner closely with investigators, faculty, and trainees to develop analytic strategies, refine research questions, and guide the execution and interpretation of analyses. Apply advanced SAS programming skills, with experience or interest in working with neighborhood-level, geospatial, and census-linked data. Produce high-quality, publication-ready figures and tables using tools such as ggplot2, matplotlib, Tableau, or similar visualization platforms. Translate complex analytical outputs into clear, compelling visualizations and summaries, making findings accessible to non-technical stakeholders. Develop or support the development of interactive data products and dashboards (e.g., R Shiny, Quarto, or similar tools) to enhance dissemination and stakeholder engagement. Physical Effort Generally sedentary. The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category Full-time regular Job Classification Staff.Data Scientist IV Job Family Research Job Sub-Family Data Science Campus Pittsburgh Minimum Education Level Required Master's Degree Minimum Years Of Experience Required 9 Will this position accept substitution in lieu of education or experience? Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement. Work Schedule 8:30 am - 5:00 pm, M-F Work Arrangement On-Campus: Teams that work on campus, in an office, or in a lab. Hiring Range To Be Determined Based On Qualifications Relocation Offered No Visa Sponsorship Provided No Background Check For position finalists, employment with the University will require successful completion of a background check Child Protection Clearances Not Applicable Required Documents Resume, Cover Letter Optional Documents Not Applicable