[Hiring] Healthcare Data Scientist & AI Solutions @BioVid

Role Description

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 enabling scalable forecasting, segmentation, and market intelligence solutions.

Qualifications

• Hands-on analysis of medical / pharmacy claims data (EHR preferred)
• Direct, hands-on experience analyzing the data itself — not only engineering it
• Ability to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas
• Tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior
• Fluent in HIPAA requirements (most data will be deidentified)
• Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
• Data cleaning, processing, augmentation, and transformation

Requirements

• Data Integration & Modeling
• Data cleaning, scarcity, gap analysis, joining and data augmentation
• Transformation to create partitions, data marts, and analytics workspaces for analysis and modeling in AWS/Athena
• Resolve identity matching, tokenization, and data harmonization challenges across disparate sources
• Build scalable, tested, and version-controlled data models using dbt on AWS/Athena
• Data Quality, Governance & Compliance
• Implement automated data quality checks using tools such as Great Expectations or equivalent
• Analytics, AI & Machine Learning
• 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
• 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
• Perform (or help perform) and automate pharmaceutical market research including HCP segmentation, demand forecasting, patient journey mapping, and audience simulation
• API & Product Delivery
• 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

Skills & Experience

• 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
• 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