DrFirst has been transforming medication management for 25 years, helping providers and patients navigate a complex and often fragmented healthcare system.

After all, “first” isn’t just in our name—it’s a fundamental part of who we are as a company.

We were first to bring real-time price transparency into prescribing workflows and first to enable e-prescribing for controlled substances—solutions that are now standard across the industry.

DrFirst has won over 25 awards for excellence and innovation, including winning Gold in the prestigious Edison Awards in 2023, recognizing our game-changing use of clinical-grade AI to streamline time-consuming healthcare workflows and prevent medication errors.

Why It Matters: Medication management is full of roadblocks such as friction-filled workflows, outdated systems, regulatory complexity, and disconnected stakeholders. The result? Delays in care, high medication abandonment rates, and poor adherence that negatively impact patient outcomes.

DrFirst tackles these challenges with end-to-end solutions that support:

Prescribing: Adaptable workflows that deliver the right information at the right time to boost efficiency and improve outcomes.

Adherence: Innovative solutions that inform patients and providers to increase medication access and affordability.

Optimization: Clinical-grade AI that aggregates fragmented data from multiple sources and fills-in gaps to deliver clean, complete, and consumable information at the point of care.

Position Overview
The Senior Statistical Analyst will lead the design and execution of experiments that measure the real-world impact of DrFirst's solutions on patient medication adherence and abandonment rates. This role sits at the intersection of advanced statistical methodology, healthcare analytics, and business strategy. You will transform complex healthcare data into actionable insights that demonstrate value to clients and drive product improvements. This position requires both technical excellence in statistical analysis and the ability to communicate findings effectively to diverse audiences, from data scientists to C-suite executives.

What you will work on:

Design rigorous experiments and statistical tests to accurately measure the impact of DrFirst solutions on patient medication adherence and abandonment behaviors

Develop innovative methodologies for causal inference and impact measurement in healthcare settings with complex confounding variables

Lead statistical analysis projects from hypothesis development through final recommendations, ensuring methodological rigor at every stage

Present findings to clients and stakeholders, translating complex statistical concepts into clear, actionable insights for non-technical audiences

Communicate results effectively to internal teams and external partners, including senior leadership and healthcare decision-makers

Build and maintain statistical models that quantify solution effectiveness and support data-driven product development

Create compelling data visualizations that make complex analytical findings accessible and persuasive

Support the analytics team with ad-hoc reports and analyses that address emerging business questions

Drive continuous improvement in analytical methodologies and team processes

Manage multiple concurrent projects effectively, balancing competing priorities and timelines while maintaining quality standards

Collaborate with cross-functional teams including product, engineering, and commercial operations to ensure analyses support business objectives

Take ownership of deliverable quality and ensure all statistical work meets the highest standards of accuracy and reproducibility

Required:

Bachelor's degree or higher in Statistics, Biostatistics, Mathematics, or related quantitative field

8+ years of experience in applied statistics and experimental design

8+ years of hands-on experience with Python or R programming languages for statistical analysis

5+ years of healthcare analytics experience, preferably with focus on patient medication adherence and abandonment measurement

Proficiency with SQL and database querying, preferably AWS Redshift

Experience with AWS QuickSight or comparable data visualization platforms (Tableau, Power BI, Looker)

Excellent communication skills with demonstrated ability to present data insights to diverse business stakeholders and senior leadership

Proven track record presenting technical findings to external clients or partners

Strong understanding of statistical inference, experimental design, and causal analysis methodologies

Preferred:

Master's degree or PhD in Statistics, Biostatistics, Epidemiology, or related field

Experience with healthcare claims data, pharmacy data, or electronic health records

Knowledge of healthcare regulatory environment and value-based care models

Familiarity with machine learning techniques and their appropriate application

Experience with AWS data ecosystem (S3, Redshift, Athena, Glue)

Publications or presentations at healthcare analytics or statistics conferences

Understanding of pharmaceutical industry dynamics and patient access challenges