Research Scientist / Data Scientist - AI & Analytics

Research Scientist / Data Scientist - AI & Analytics

Adelphi Research | Advanced Market Research Group (AMG)

About the Role

Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools.

You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research—and has done some hands-on experimentation—this role offers a unique opportunity to shape the future of pharmaceutical insights.

What You'll Do

Client Analytics & Research Execution

• Execute advanced statistical analyses for pharmaceutical market research studies:
• Segmentation analysis (cluster analysis, latent class)
• Conjoint analysis (discrete choice, MaxDiff)
• Message testing and positioning research
• Key driver analysis and predictive modeling
• 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

AI Tool Development & Innovation

• 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
• Test and refine chatbot interfaces that help clients interact with their data
• Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data)
• Integrate LLM APIs into existing workflows where appropriate
• Experiment with AI applications for research acceleration and automation
• Document findings, create user guides, and support internal adoption

Required Qualifications

Core Technical Skills

• Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar)
• OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R
• 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

AI Experience

• Evidence of hands-on experimentation with AI tools beyond consumer use.
• Built a small project using an LLM API (even if just a personal experiment)
• Created a prototype chatbot or AI-enhanced tool
• Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs
• Experimented with prompt engineering in a programmatic way
• Contributed to an AI-related project at work or school

Foundation & Experience

• 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
• Experience with survey research methodologies preferred
• 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

Nice-to-Haves (Valued but Not Required)

Domain & Methodology

• Experience in pharmaceutical or healthcare market research
• Understanding of survey design, sampling, and weighting approaches
• Familiarity with FDA regulations or pharmaceutical compliance considerations
• Background in segmentation, conjoint analysis, or MaxDiff studies

Technical & Tools

• R package developmen