Data Scientist

AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. We are committed to making pharmacy benefits easy to understand, straightforward to access and always in the best interest of employers and the lives they impact.

We accomplish this by bringing total clarity to business practices, leading with clinical approaches, and utilizing state-of-the-art technology. Join us in improving health care outcomes for all! We promise to do what’s right, always.

Position Summary: The Data Scientist (AI/ML) designs, builds, and validates the advanced analytics that turn pharmacy, claims, clinical, and member data into decisions.

This is a hands-on modeling role: the person owns machine learning models end to end, applies AI and natural language processing to unstructured clinical and member data, resolves member identity across fragmented data sources, and packages results into tools and dashboards the business can use.

The role sits at the intersection of data science, clinical/pharmacy reporting, and applied AI, and partners closely with data engineering, clinical, reporting, and client-success teams. What you will do: Machine Learning and Predictive Modeling: Build predictive and prescriptive ML models for pharmacy cost and risk (e.

g. , forecasting second-year member spend), including feature engineering, model selection, and explainability analysis (e. g.

, SHAP-based feature attribution) Develop member-level risk and comorbidity scoring, mapping drug identifiers (NDC → ATC) to clinical conditions and severity weights, and validating outputs against edge cases Apply ML to automate high-effort clinical operations processes (e. g.

, prior-authorization override automation), moving manual workflows into rules-based and model-driven pipelines Applied AI and Natural Language Processing: Use AI/NLP to analyze unstructured member and clinical text — sentiment analysis, topic modeling, and tokenization of open-en