Healthcare Data Scientist – AI Solutions

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Analyze data to reveal healthcare provider (HCP) prescribing patterns and behavioral insights.

• Integrate quantitative real-world data with qualitative market research findings.

• Create synthetic audiences (“Digital Twins”) that replicate HCP prescribing behaviors and patient treatment pathways.

• Facilitate scalable forecasting, segmentation, and market intelligence solutions.

• Execute HCP/patient segmentation, demand forecasting, journey mapping, and modeling tasks.

• Assist in the development of synthetic segments and equivalents for HCPs.

• Perform advanced exploratory data analysis (EDA) and feature engineering utilizing SQL, Python, pandas, and numpy.

• Examine claims data to model and forecast HCP prescribing behaviors by drug, condition, and treatment area, while linking attitudinal segments with NPIs.

• Construct AI-driven synthetic personas for providers and patients based on real-world claims distributions.

• Formulate methods to translate qualitative research insights into nationwide quantitative projections.

• Design and maintain efficient backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).

⛳️ Requirements

• Over 5 years of experience in Analytics Engineering, Data Engineering, Data Science, or related fields.

• Proven track record of managing end-to-end data pipelines and scalable analytics systems on AWS.

• Practical experience with AWS data and analytics tools, such as Athena, S3, Glue, and SageMaker (AWS is the primary environment).

• Extensive experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors like IQVIA, Komodo, Symphony, or Definitive Healthcare.

• Demonstrated capability in analyzing medical/pharmacy claims to extract insights and predict HCP prescribing behavior, as well as tagging attitudinal segments to NPIs.

• Proficient in SQL and skilled in Python, including experience with pandas and large-scale data workflows.

• Solid understanding of pharmaceutical market research, encompassing patient journeys, HCP segmentation, and demand modeling.

• Familiarity with integrating survey or primary research data with extensive quantitative datasets.

• Comfortable utilizing AI coding assistants and agentic development tools to expedite project delivery.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive work environment.