Data Scientist IV

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.

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

Job Family: Research

Job Sub-Family: Data Science

Campus: Pittsburgh

Minimum Education Level Required: Master's Degree

Minimum Years of Experience Required: 9

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