BestApply

Data Scientist

AffirmedRx, PBC

  • Remote
  • Remote
  • Posted Aug 13, 2026
Sign up — let your agent apply Sign in

BestApply tailors your resume and applies for you.

Feature EngineeringStreamlitCloud Data WarehouseData LakeData QualityATCMachine LearningPQANDCAINatural Language ProcessingModel Explainability

Job description

About the role

The Data Scientist (AI/ML) designs, builds and validates advanced analytics that turn pharmacy, claims, clinical and member data into actionable decisions, owning end‑to‑end machine‑learning models, applying AI/NLP to unstructured data, resolving member identity across fragmented sources, and delivering tools and dashboards for business users while collaborating with data engineering, clinical, reporting and client‑success teams.

About the company

AffirmedRx is a pharmacy benefit management company focused on improving health care outcomes by bringing clarity, integrity and trust to PBM services, using clinical approaches and state‑of‑the‑art technology, and emphasizing a culture of doing what’s right.

Requirements

  • Degree in a quantitative field (data science, statistics, computer science, applied math) or equivalent experience
  • 2–3 years of experience using Python and SQL for data analysis, machine learning, NLP, data quality and record‑matching solutions; data modeling experience in PBM and/or healthcare preferred
  • Strong Python for data science and ML (e.g., pandas plus modeling stack) and proficiency in SQL
  • Demonstrated experience building and validating ML models, including feature engineering and model explainability
  • Experience with NLP techniques (sentiment analysis, topic modeling) and applying AI/LLM tooling to real workflows, including output validation
  • Experience with entity resolution / probabilistic record matching and data‑quality analysis
  • Comfort working with a modern cloud data warehouse and data lake, and partnering with data engineering on production hand‑off
  • Healthcare, pharmacy benefit management (PBM) or claims‑data experience
  • Familiarity with pharmacy data concepts (NDC, GPI, ATC, formulary tiers, prior authorization, rebates)
  • Experience with compliance‑driven reporting (e.g., URAC / PQA measures)
  • Experience building analytical front ends or dashboards (e.g., Streamlit, BI tools) for non‑technical stakeholders
  • Willingness and ability to travel (10%-20%)