Dir, Patient Intelligence Lead
Merck & Co.
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Job summary
Merck & Co., Inc. is seeking a Director, Patient Intelligence Lead within Digital Human Health to advance predictive patient analytics across our brand portfolio.
You will architect modular analytics products and lead cross-functional teams to transform patient data into actionable insights that support patient support and commercialization efforts. You will partner with Commercial Technology, Market Engagement and Brand teams, build scalable models, mentor the analytics function, and drive data
Qualifications
- 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.
- Hands-on experience with patient-level healthcare data sets (claims data, EHR/EMR, Rx data).
- Proven ability to productize analytics—translating ad-hoc models into scalable, repeatable data products or modular capabilities.
- Strong proficiency in data visualization 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.
- Advanced degree (MS or PhD) in Data Science, Statistics, or related field.
- Deep expertise in ML/AI applications for patient behavior and healthcare analytics.
- Experience in agile product teams, collaborating with product managers and engineers.
- Familiarity with cloud-based data environments (AWS, GCP).
Responsibilities
- Lead the design, development, and deployment of predictive patient analytics models and products.
- Architect and build scalable, modular analytics products across brand portfolios.
- Oversee translation of models into intuitive data visualizations and actionable insights for stakeholders.
- Partner with Commercial Technology, Market Engagement, and Brand teams to ensure data governance and quality.
- Mentor analytics professionals and establish best practices within the DHH Patient Capabilities team.
Skills
Education
Tools
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.
- 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.
- 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.
- 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.
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}
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement•
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
The salary range for this role is
$173,200.00 - $272,600.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .
We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Regular
No relocation
No
10%
Hybrid
Not Indicated
No
n/a
09/8/2026
R413343
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