Healthcare Data Scientist – AI Solutions

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🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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BioVid

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1998

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

BioVid is a strategic consulting firm that partners with life science organizations to enhance their understanding of human behavior, enabling more effective customer interactions. Through a combination of innovative research, sophisticated analytics, and design, BioVid helps leading pharmaceutical and medical device companies navigate complex market dynamics and minimize risks in clinical trials. By utilizing evidence-based techniques and a deep understanding of cognitive and behavioral science, BioVid empowers clients to make accurate predictions and informed business decisions that support the greater good.

📋 Description

• Analyze the data to uncover HCP prescribing behavior and behavioral insights. • Bridge quantitative real-world data with qualitative market research. • Develop synthetic audiences (“Digital Twins”) that mirror healthcare provider prescribing behavior and patient treatment journeys. • Enable scalable forecasting, segmentation, and market intelligence solutions. • Perform HCP/patient segmentation, demand forecasting, journey mapping, and modeling. • Help build Synthetics, simulated segments and HCP equivalents. • Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy. • Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs. • Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions. • Develop methods to scale qualitative research insights into national quantitative projections. • Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).

🎯 Requirements

• 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles. • Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS. • Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment). • Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare. • Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs. • Expert SQL and strong Python skills, including pandas and large-scale data workflows. • Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling. • Experience integrating survey or primary research data with large quantitative datasets. • Comfortable using AI coding assistants and agentic development tools to accelerate delivery.