University of Pittsburgh

Data Scientist IV

University of Pittsburgh$90K — $130K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data analysis and statistical methodologies
  • Expertise in SAS programming and statistical software
  • Experience with complex data manipulation and visualization tools
  • Proven ability to collaborate on high-level research projects
  • Strong writing skills for reports and peer-reviewed publications
  • Familiarity with geospatial and census-linked data analysis

Responsibilities

  • Provide subject matter expertise in statistical methodologies and data analysis
  • Collaborate with study sponsors on design, analysis, and protocol development
  • Lead the creation and monitoring of complex analytical plans
  • Implement advanced statistical analyses addressing complex research questions
  • Contribute to peer-reviewed publications and methodological rigorousness
  • Develop actionable visualizations for various stakeholders
  • Create interactive data products to enhance engagement and dissemination

Benefits

  • Access to professional development resources
  • Opportunities to collaborate with leading researchers
  • Flexible work arrangements
  • Supportive environment for innovation in data science
  • Contributions to impactful, high-visibility research
Full Job Description
Essential Functions

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.

Physical Effort

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.

About University of Pittsburgh

The University of Pittsburgh is a state-related research university located in Pittsburgh, Pennsylvania. It was founded in 1787 and is one of the oldest continuously chartered institutions of higher education in the United States. The university offers a wide range of undergraduate, graduate, and professional degree programs across 17 schools and colleges. The University of Pittsburgh is known for its strong programs in health sciences, engineering, business, and law. It is also home to a number of research centers and institutes, including the Pitt Innovation Institute and the Center for Energy.
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