Research Solutions and Software

The Office of Research, Assessment, and Evaluation is committed to supporting faculty and future medical student research. Below, you will find a curated list of available software and research support tools our office has expertise in including programming languages, development environments, visualization tools, machine learning platforms, data management systems, and collaboration tools. These resources are designed to support your research from inception to completion, ensuring efficiency and accuracy at every step. Please note, you may need to request software or database access through Technology Services or the RUHS Office of Research.

Programming Languages and Statistical Software
  • Python
  • R
  • SAS
  • SPSS
Integrated Development Environments (IDEs)
  • Jupyter Notebook
  • Jupyter Lab
  • RStudio
  • VSCode
Data Visualization Tools
  • AWS QuickSight
  • Microsoft Power BI
Machine Learning
  • TensorFlow
  • PyTorch
  • Keras
  • Amazon SageMaker
Data Management System / Tools
  • SQL Server
  • NoSQL Databases
  • Neo4j (graph database)
  • REDCap
Collaboration and Version Control
  • Git
  • GitHub
  • Notion
  • Slack
  • Teams
Cloud
  • Amazon Web Services (AWS)