Research Specialist — Cancer Outcomes Analytics

The Rector & Visitors of the University of Virginia; Charlottesville (VA); On-site; USD 75,500 - 102,000; Full time

Job summary

The University of Virginia seeks a Research Specialist Intermediate to advance cancer-related population health research within the Population Health and Cancer Outcomes Core in Charlottesville, VA. You will contribute to data acquisition, preprocessing, modeling, visualization, and reporting using large-scale databases.

You will apply SAS, Stata, R, and Python for analyses, perform geospatial and longitudinal analyses, and develop dashboards to inform clinical practice and policy.

Qualifications

• Bachelor's or higher in a quantitative field with 3+ years of quantitative data modelling experience.
• Strong foundation in data management, cleaning and preprocessing for rigorous analyses.
• Proficient in SAS, Stata, R, Python for statistical programming on large datasets.
• Experience extracting and querying large datasets in local and cloud environments using SQL.
• Applied ML/AI methods to identify predictive factors and improve analytic performance.
• Familiarity with workflows, reproducible pipelines and version control (Git).
• Experience with community/population data sources (ACS) and cloud VM environments.
• Ability to teach lectures/workshops on data programming and analytics.

Responsibilities

• Lead and support cancer outcomes research using population data.
• Develop analytical reports on incidence, mortality, care pathways, and disparities.
• Handle full data lifecycle from acquisition to modeling and reporting.
• Create data visualizations and dashboards to communicate results.
• Collaborate with faculty and clinicians to translate results into policy implications.
• Develop standardized analytic workflows and reproducible data pipelines.
• Conduct geospatial analyses (ArcGIS) to study geographic variation in cancer burden.

Skills

Data management

Data cleaning

Preprocessing

Advanced statistics

Regression analysis

Longitudinal analysis

SQL querying

ML/AI tools

Geospatial analysis

Data visualization

Reproducible pipelines

Teaching/workshops

Education

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

Master’s degree in statistics/biostatistics/data science/economics/public policy or related field (in lieu of experience)

Tools

SAS

Stata

R

Python

SQL

ArcGIS

Tableau

Git

Job description

The University of Virginia seeks a Research Specialist Intermediate to advance cancer-related population health research within the Population Health and Cancer Outcomes Core in Charlottesville, VA. You will contribute to data acquisition, preprocessing, modeling, visualization, and reporting using large-scale databases.

You will apply SAS, Stata, R, and Python for analyses, perform geospatial and longitudinal analyses, and develop dashboards to inform clinical practice and policy.