Analytic Tools

  • Python, SQL, R, SAS, Stata, Octave/Mathlab

General Statistical Skills

  • causal inference
  • survival analysis and cumulative risk
  • prospective (longitudinal) and retrospective analyses
  • handling missing data and imputation
  • GLM and model selection
  • PCA
  • K-means clustering

Science or Topic-based Skills

  • Mitochondrial DNA
  • Phylogeny
  • Head and Neck Cancer
  • Public health recommendations and disease burden
  • Biomarkers and cancer
  • Disaster aftermath and recovery (e.g. World Trade Center)