Junior AI Medication Adherence Prediction Developer

Bolvex Solutions

Remote · $60k – $80k / year · Full-time · Posted 4 months ago

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About the role

Medication non-adherence costs the US healthcare system $300B annually in preventable hospitalizations and disease progression. Patients who don't take their prescribed medications as directed — whether from forgetfulness, side effect burden, cost barriers, or health literacy gaps — have dramatically worse outcomes for chronic conditions including diabetes, hypertension, heart failure, and mental health. Identifying patients at high risk of non-adherence before they stop filling prescriptions lets care teams intervene with targeted support. We serve 12 health systems with clinical AI analytics. Medication adherence prediction is a new model we're building to support pharmacy benefit management and care coordination teams. The predictive signals are in the EHR and pharmacy data: prior fill gap patterns, disease complexity, social determinants of health, number of concurrent medications, and prior care team engagement patterns all correlate with adherence outcomes. As a junior developer, you'll build the data pipelines that assemble the training dataset for adherence prediction models. Senior data scientists design the models; your work is extracting and joining the feature data from pharmacy fill records, EHR demographics, and care engagement logs that makes the model training possible.

Responsibilities

Build pharmacy fill record ingestion pipeline extracting medication fill history and fill gap patterns
Implement EHR data extraction joining patient demographics, diagnosis codes, and care team engagement history
Develop medication complexity feature computation: number of concurrent medications, polypharmacy indicators
Create social determinants of health feature integration from structured SDH screening data
Build training dataset assembly joining all feature sources to adherence outcome labels
Maintain data pipeline as new EHR data sources and feature engineering requirements are added

Requirements

1+ year of Python and SQL development experience
Basic familiarity with healthcare data, EHR systems, or clinical informatics preferred
Interest in healthcare analytics, population health, or clinical data science
Attention to data join accuracy and healthcare data privacy requirements
Good communication for collaborating with senior data scientists on feature engineering specifications