Data Scientist Healthcare Analytics

Weller & Company, Inc. is recruiting for an unnamed consultancy serving pharmaceutical and healthcare organizations. The Data Scientist will analyze healthcare claims and research data, develop machine learning and synthetic-audience methods, and deliver insights for segmentation, forecasting, and market intelligence.

Responsibilities:

• Analyze medical and pharmacy claims to understand and predict HCP prescribing behavior by drug, condition, and treatment area
• Connect qualitative and attitudinal HCP segments with provider identifiers and observed prescribing behavior
• Conduct exploratory data analysis and feature engineering using SQL, Python, pandas, and NumPy
• Build AI-powered synthetic provider and patient personas grounded in real-world claims data
• Develop methods to translate qualitative research insights into national quantitative projections
• Develop, train, and evaluate machine learning models
• Conduct and help automate HCP and patient segmentation, demand forecasting, patient journey mapping, and audience simulation
• Translate complex analyses into actionable segmentation, targeting, and forecasting insights
• Clean, combine, augment, and transform data, addressing gaps and creating datasets and analytics workspaces in AWS
• Resolve identity matching, tokenization, and data harmonization challenges across sources
• Build scalable, tested, version-controlled data models using dbt and implement automated data quality checks
• Build and maintain backend APIs using FastAPI on AWS, delivering data products and insights to internal tools and client-facing applications

Requirements:

• 5+ years of experience in analytics engineering, data engineering, data science, or a related role
• Direct, hands-on experience analyzing medical and pharmacy claims—not solely engineering the systems that process them
• Experience using claims data to understand and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas
• Familiarity with major healthcare data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare
• Knowledge of HIPAA requirements for handling healthcare data, including de-identified datasets
• An understanding of pharmaceutical market research, including HCP and patient segmentation, demand forecasting, journey mapping, and modeling
• Experience integrating survey or primary research data with large quantitative datasets and linking attitudinal HCP segments to prescribing behavior
• The ability to help develop synthetic audiences, simulated segments, and virtual HCP personas
• Experience developing, training, and evaluating machine learning models
• Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS, including hands-on experience with Athena, S3, Glue, and SageMaker
• Expert SQL and strong Python skills, including pandas and large-scale data workflows
• The ability to turn complex findings into practical business insights
• Comfort using AI coding assistants and agentic development tools
• EHR experience is preferred
• LLM fine-tuning and training experience is a plus