Research Scientist / Data Scientist - AI & Analytics

Omnicom Health•Doylestown, PA

22d•$90,000 - $110,000

About The Position

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.

Requirements

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
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
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

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
R package development or contribution to open-source projects
Familiarity with Azure, Google Cloud, or AWS
Python + R bilingual coding
Exposure to Bayesian methods or probabilistic models
Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it)
Experience translating SPSS workflows to R

Responsibilities

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
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

Benefits

Work directly with Senior Statisticians leading our AI initiatives
Exposure to diverse therapeutic areas across major pharmaceutical clients
Hands-on experience building production AI tools in a regulated industry
Professional development in both traditional research methods and emerging AI capabilities

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