Adelphi Research is seeking a Research Scientist/Data Scientist to execute pharmaceutical market research analytics and contribute to AI-powered research tools
Requirements
- Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar)
- R Shiny development experience
- Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques
- Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes
- Some programming experience beyond scripting: You've built something—a dashboard, an analysis pipeline, a tool—not just run one-off analyses
- Evidence of hands-on experimentation with AI tools beyond consumer use
- Familiarity with Azure, Google Cloud, or AWS
Responsibilities
- Execute advanced statistical analyses for pharmaceutical market research studies
- Perform data cleaning, weighting, and quality control for survey data
- Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc.
- Support project teams with statistical methodology recommendations
- Collaborate on study design, questionnaire development, and analytical plans
- Contribute to building and testing R Shiny applications that enhance our research capabilities
- Help develop AI-powered qualitative coding tools for open-ended survey responses
Other
- Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required)
- 2-4 years of experience in applied statistics, data science, or market research analytics
- Strong problem-solving skills and attention to detail
- Excellent communication skills—ability to explain technical concepts to non-technical audiences
- Comfort juggling multiple projects and shifting priorities