BioVid
Healthcare Data Scientist & AI Solutions
Bristol, Pennsylvania, United States
Sponsorship not specifiedDetected 29 days ago
PythonFastAPISQLAWSMachine LearningPandasdbtData AnalysisData EngineeringData ScienceLLMsComplianceForecastingHIPAAEHR/EMRResearchDemand Planning
About the role
- BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.
- In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences ("Digital Twins") that mirror healthcare provider prescribing behavior and patient treatment journeys, while
Responsibilities
- Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
- Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.
- Implement automated data quality checks using tools such as Great Expectations or equivalent.
- 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).
- Deliver data products, personas, and insights to internal tools and client-facing applications.
Requirements
- Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
Nice to have
- BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.
- In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights.
- Must-Have Qualifications
- Direct, hands-on experience analyzing the data itself - not only engineering it.
- HIPAA requirements fluent (most of our data will be deidentified)
- Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
- Translate these analyses into actionable segmentation, targeting, and forecasting insights.
- Data Cleaning, Processing, Augmentation and Transformation
Benefits
- Analytics, AI & Machine Learning
- Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
- 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.
This listing is sourced directly from BioVid's careers page and normalized into a canonical job model.