Research Scientist / Data Scientist - AI & Analytics at Omnicom Health

Research Scientist / Data Scientist - AI & AnalyticsAdelphi Research | Advanced Market Research Group (AMG)About the RoleAdelphi 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 DoClient 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 researchKey driver analysis and predictive modelingPerform data cleaning, weighting, and quality control for survey dataCreate professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc.Support project teams with statistical methodology recommendationsCollaborate on study design, questionnaire development, and analytical plansAI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilitiesHelp develop AI-powered qualitative coding tools for open-ended survey responsesTest and refine chatbot interfaces that help clients interact with their dataSupport validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data)Integrate LLM APIs into existing workflows where appropriateExperiment with AI applications for research acceleration and automationDocument findings, create user guides, and support internal adoptionRequired QualificationsCore Technical SkillsStrong 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 RR Shiny development experienceStatistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniquesData manipulation: Comfortable working with complex survey data, messy datasets, weighting schemesSome programming experience beyond scripting: You've built something—a dashboard, an analysis pipeline, a tool—not just run one-off analysesAI 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 toolWorked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIsExperimented with prompt engineering in a programmatic wayContributed to an AI-related project at work or schoolFoundation & ExperienceMaster'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 analyticsExperience with survey research methodologies preferredStrong problem-solving skills and attention to detailExcellent communication skills—ability to explain technical concepts to non-technical audiencesComfort juggling multiple projects and shifting prioritiesNice-to-Haves (Valued but Not Required)Domain & MethodologyExperience in pharmaceutical or healthcare market researchUnderstanding of survey design, sampling, and weighting approachesFamiliarity with FDA regulations or pharmaceutical compliance considerationsBackground in segmentation, conjoint analysis, or MaxDiff studiesTechnical & ToolsR package development or contribution to open-source projectsFamiliarity with Azure, Google Cloud, or AWSPython + R bilingual codingExposure to Bayesian methods or probabilistic modelsAny experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it)Experience translating SPSS workflows to RLearning & DevelopmentWork directly with Senior Statisticians leading our AI initiativesExposure to diverse therapeutic areas across major pharmaceutical clientsHands-on experience building production AI tools in a regulated industryProfessional development in both traditional research methods and emerging AI capabilitiesOur Working EnvironmentYou'll work directly with the Senior Statisticians and collaborate with:Project teams serving major pharmaceutical clientsData science colleagues across AMGQualitative researchers and strategic consultantsWe value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API—who sees the value in both rigorous statistical methods and emerging AI capabilities.Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient.To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it.The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States.   Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.