Data Scientist - Healthcare (Hybrid / New York...

• Produce structured, audience-ready analytical outputs that support client engagements and program insight generation.

• Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM)

• Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred)

• Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn)

• Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks

• Experience producing structured, audience-ready analytical outputs - not just raw analyses; strong attention to how findings are communicated, not just computed

• Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language

• Bachelor’s degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus

• Eligible to work in the United States

AssistRx is a healthcare technology company focused on specialty pharmacy hub services, helping pharmaceutical manufacturers improve therapy initiation, patient access, and reimbursement workflows through its iAssist platform and related support services. Its platform connects patients, providers, payors, and manufacturers across complex specialty therapy programs, supporting a broad portfolio of work across areas including oncology, immunology, rare disease, and obesity.

In this role, you will contribute to a high-performance analytics team focused on turning complex healthcare data into meaningful insight for clients. This position is centered on delivering analytical work that supports program performance evaluation and helps shape the outputs, narratives, and insights that define the team’s value to manufacturer partners.