Data Scientist IV

Data Scientist IV

GSPH-Epidemiology - Pennsylvania-Pittsburgh - (26003443)

Job Summary

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.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