Mid-Level Cancer Outcomes Data Scientist

University of Virginia; Charlottesville (VA); On-site; USD 89,009 - 108,788; Full time

Job summary

University of Virginia is seeking a Research Specialist Intermediate in Charlottesville, VA to advance cancer-related population health research within the PHCOC. You will handle data lifecycle, perform advanced analyses, and create visualizations for manuscripts, reports, and policy insights.

The role requires 3+ years of quantitative modeling experience or a Master's degree in a related field, with proficiency in SAS/Stata/R/Python and SQL.

Qualifications

• Bachelor’s or Master’s in a quantitative field with relevant data modeling experience.
• Proficiency in SAS, Stata, R, and Python for analysis.
• Experience with SQL in local and cloud environments.
• Applied machine learning to identify predictive factors.
• Developing reproducible data pipelines and technical documentation.

Responsibilities

• Advance cancer-related population health research using large databases.
• Produce analytical reports on cancer incidence, mortality, treatment patterns and outcomes.
• Manage full data lifecycle from acquisition to modeling and visualization.
• Create data visualizations, dashboards and infographics.
• Lead teaching workshops on healthcare claims data and analytics.
• Collaborate with faculty to translate analyses into policy insights.

Skills

Data management

Advanced statistical methods

Statistical programming

SQL data querying

Machine learning

Data pipelines

Teaching/workshops

Education

Bachelor's degree in statistics/biostatistics/data science/economics/public policy or related quantitative field

Master’s degree in same fields accepted in lieu of experience

Tools

SAS

Stata

R

Python

SQL

ArcGIS

Tableau

Job description

University of Virginia is seeking a Research Specialist Intermediate in Charlottesville, VA to advance cancer-related population health research within the PHCOC. You will handle data lifecycle, perform advanced analyses, and create visualizations for manuscripts, reports, and policy insights.

The role requires 3+ years of quantitative modeling experience or a Master's degree in a related field, with proficiency in SAS/Stata/R/Python and SQL.