AffirmedRx is hiring a Data Scientist to build and validate ML models on pharmacy, claims, clinical, and member data, apply AI/NLP to unstructured text, and package results into business-facing tools and dashboards.
Responsibilities
- ▹Build predictive and prescriptive ML models for pharmacy cost and risk, including feature engineering and explainability analysis (e.g. SHAP)
- ▹Develop member-level risk and comorbidity scoring, mapping drug identifiers to clinical conditions
- ▹Apply ML to automate high-effort clinical operations processes (e.g. prior-authorization override automation)
- ▹Apply AI/NLP to unstructured member and clinical text: sentiment analysis, topic modeling, tokenization
- ▹Apply LLMs and internal AI services to automate clinical policy and documentation workflows, including prompt design and output validation
- ▹Design and maintain probabilistic (fuzzy) matching logic to reconcile member identifiers across source systems
- ▹Produce clinical and pharmacy analytics (medication adherence, PMPM metrics), reconcile data discrepancies
- ▹Build analytical tools and prototypes, including lightweight front ends (e.g. Streamlit)
Soft skills
Analytical, end-to-end ownership mindsetCollaboration with data engineering, clinical, and client-success teams
About the company
AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management, making pharmacy benefits easy to understand and access for employers and the people they serve.
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