Dir, Patient Intelligence Lead

Merck•North Wales, PA

10d•$173,200 - $272,600•Hybrid

About The Position

Our Digital Human Health (DHH) team is transforming how we engage with and support patients throughout their healthcare journey. We are at the forefront of building a more connected, personalized, and seamless patient experience, which will be critical to helping patients to benefit from our upcoming launch products. Working cross-functionally, we are inventing new ways of leveraging digital, data, and analytics to improve health outcomes and deliver on our "patient-first" mission. Reporting to the Executive Director, Digital Patient Experience, the Director, Patient Intelligence Lead is a pivotal new role dedicated to building our predictive patient analytics capabilities. This leader will drive the creation of modular, scalable analytics products that provide insights into patient behaviors and challenges throughout the patient journey to empower our patient support organization and brand teams to improve patient outcomes across our portfolio.

Requirements

Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics).
10+ years of relevant experience in advanced analytics, data science, or predictive modeling within the pharmaceutical, healthcare, or related industries.
Extensive hands-on experience working with patient-level healthcare data sets (e.g., claims data, EHR/EMR, specialty pharmacy data, Rx/fulfillment data).
Proven ability to productize analytics—translating ad-hoc models into scalable, repeatable data products or modular capabilities.
Strong proficiency in data visualization tools and translating complex data into strategic business recommendations for non-technical leadership.
Demonstrated leadership experience, with the ability to manage technical resources and drive cross-functional alignment.

Nice To Haves

Advanced degree (e.g., MS or PhD in Data Science, Statistics, or related quantitative field).
Deep expertise in machine learning (ML) and artificial intelligence (AI) applications specific to patient behavior and commercial healthcare analytics.
Prior experience working in agile product teams, collaborating closely with product managers and engineers.
Familiarity with cloud-based data environments and modern data architecture (e.g., AWS, GCP).

Responsibilities

Predictive Analytics & Modeling: Lead the design, development, and deployment of predictive patient analytics models and products, focusing on critical milestones in the patient journey.
Modular Capability Build: Architect and build scalable, modular analytics products that can be seamlessly adapted and deployed across various brands within our company portfolio, rather than relying on bespoke, one-off analyses.
Data Visualization & Storytelling: Oversee the translation of complex predictive models into intuitive data visualizations and actionable insights, ensuring they are effectively communicated to commercial, marketing, and access stakeholders.
Cross-Functional Data Leadership: Partner closely with our Commercial Technology & Solutions, Market Engagement, Commercial AI Capabilities, Patient CoE, and Brand teams to ensure the right data infrastructure, governance, and quality are in place to support advanced analytics.
Team & Capability Development: Cultivate a high-performing analytics function within the DHH Patient Capabilities team, mentoring data professionals and establishing best practices for patient analytics.