Courierhealth1mo ago

Senior Value Engineer

New Yorksenior

EngineeringValue Engineer

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Quick Summary

Overview

Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported.

Technical Tools

EngineeringValue Engineer

Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported.

We are building the future of patient engagement for life sciences companies. Our software is leveraged by biopharma companies to support patients in their complex journey from diagnosis to initiating and remaining on therapy to achieve optimal health outcomes.

About the Role

~1 min read

Own Courier Health's value measurement framework end to end. Define the methodologies, benchmarks, and standards that quantify program impact across therapeutic areas. Build the infrastructure that makes rigorous, scalable measurement possible, and continuously evolve it as our platform and client base grows
Lead the most complex and strategically important analyses in the business. Design experiments, build cohort studies, and surface insights that drive executive decisions. Bring AI fluency to how we collect, process, and interpret data by identifying where automation sharpen our measurement capabilities
Act as the analytical authority in executive client engagements. Build confidence in Courier's measurement approach at the C-suite level and partner with Sales and Client Solutions on high-stakes QBRs, renewals, and expansion conversations
Build a culture of rigorous storytelling across the organization. Establish frameworks and coach Sales, Client Solutions, and Value Engineers on translating complex data into narratives that resonate with every audience; from data scientists to CCOs

Requirements

~1 min read

Strong passion for Courier Health's mission and improving patient outcomes through technology
8+ years of experience in analytics, data science, or value engineering in a client-facing environment
Expert-level SQL and proven experience building scalable analytics infrastructure
Deep expertise in experimental design, cohort analysis, and identifying confounding variables and data quality issues
Demonstrated AI fluency. Experience applying AI tooling to analytics workflows and measurement problems
Track record of scaling systems and standards across a growing organization
Executive presence with the ability to communicate complex analytical findings to C-suite stakeholders
Proven ability to influence and coach cross-functional teams without direct authority
Bonus: Experience with life sciences, specialty pharma, healthcare analytics, or SaaS value measurement