Data Analyst I - University of Pittsburgh

Key Responsibilities

• Develop and maintain analytical pipelines in R for real‑world evidence studies on seizure diagnostics and therapies.
• Apply multivariable generalized linear models, including logistic regression, survival models, and rank regression, to evaluate treatment effectiveness and safety.
• Implement propensity score matching and inverse probability weighting to adjust for confounding in observational data.
• Clean, transform, and merge large clinical datasets, ensuring data integrity and reproducibility.
• Collaborate with clinical investigators to translate statistical findings into actionable insights and reports.

Requirements

• Proficiency in R programming and familiarity with statistical modeling packages.
• Experience with generalized linear models, survival analysis, and propensity score techniques.
• Strong data wrangling skills and attention to detail in data preparation.
• Excellent written and verbal communication for presenting complex analyses.
• Ability to work independently and as part of a multidisciplinary research team.