Data Scientist

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AffirmedRx, a Public Benefit Corporation

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

⚕️ Healthcare Insurance

Healthcare • Healthcare Insurance

AffirmedRx is a Public Benefit Corporation dedicated to transforming the pharmacy benefit management (PBM) industry. Focused on transparency, patient-centric care, and innovative solutions, AffirmedRx aims to overcome the complexities and opacity that traditionally plague the PBM sector. By empowering individuals and organizations, the company provides clarity and unwavering support in navigating pharmacy benefits. AffirmedRx stands for integrity and partnership, striving to offer a healthier and more informed pharmacy benefits experience while boldly tackling the rising costs of healthcare and pharmaceuticals.

📋 Description

• 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.

🎯 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 industry in general preferred • Strong Python for data science and ML (e.g., pandas plus a 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 with 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%)

🏖️ Benefits

• Competitive compensation, including health, dental, vision and other benefits