Dir, Patient Intelligence Lead

EyeBio; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

EyeBio seeks a Director, Patient Intelligence Lead to build predictive analytics capabilities across our patient journey. You will design modular analytics products and lead a team to deploy scalable insights that inform patient support and brand strategies.

The role requires a strong track record in data visualization, productizing analytics, and cross-functional leadership within healthcare or pharma environments. A patient-first mindset and hands-on data stewardship are essential.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 10+ years in advanced analytics, data science, or predictive modeling within pharma/healthcare.
• Experience with patient-level healthcare data sets such as claims and EHR/EMR.

Responsibilities

• Lead design, development, and deployment of predictive patient analytics models and products.
• Architect scalable, modular analytics products across brands.
• Translate models into intuitive data visualizations for stakeholders.
• Partner with Commercial Tech, Market Engagement, and Brand teams on data governance and quality.
• Mentor analytics team and establish best practices.

Skills

Predictive analytics

Data visualization

Leadership

Cross-functional collaboration

Productization

Strategic storytelling

Education

Bachelor's degree in quantitative field

MS or PhD in Data Science/Statistics/Math

Tools

AWS

GCP

Data Visualization Tools

Job description

Job Description

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.

Primary 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.

Required Experience and Skills:

• 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.

Preferred Experience and Skills:

• 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).

Our Human Health Division maintains a "patient first, profits later" ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

Required Skills:

Artificial Intelligence (AI), Artificial Intelligence (AI), Building Capability, Business Analysis, Clinical Leadership, Competency Management, Cross-Functional Project Management, Customer Communications, Data Analysis Tools, Data Science, Data Storytelling, Data Visualization, Data Visualization Tools, Demand Management, Healthcare Analytics, Innovation, Learning Algorithms, Liaison Work, Policy Compliance, Predictive Analytics, Procedure Development, Product Management Leadership, Requirements Management, Sourcing and Procurement, Stakeholder Relationship Management {+ 2 more}