Associate Director, Marketing Sciences
Listed on 2026-02-12
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
Associate Director, Marketing Sciences
Location:
United States - New Jersey - Parsippany
Job Description
At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite.
As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Summary
Associate Director, Marketing Sciences at Gilead leads the design, development, and scaling of advanced omnichannel machine learning (ML) capabilities to enhance data‑informed commercial decision making. The role focuses on modeling HCP engagement patterns, understanding sales and patient‑journey dynamics, translating complex commercial questions into rigorous analytical solutions, and delivering measurable impact across brand, sales, and omnichannel initiatives.
The position partners closely with cross‑functional stakeholders across Marketing, Commercial Operations, Product Management, Data Engineering, and Digital teams to build reproducible, scalable ML products. Responsibilities include developing and maintaining predictive models, next‑best‑action algorithms, content processing frameworks, and experimentation methodologies; operationalizing these solutions into production environments; and ensuring ongoing model performance and governance while partnering with the measurement team to integrate their insights and feedback into our solutions across markets and therapeutic areas.
The Associate Director provides scientific and technical leadership—shaping omnichannel ML strategy, and influencing senior stakeholders through clear storytelling and actionable recommendations.
Success requires deep expertise in ML and applied statistics, experience in regulated pharmaceutical commercial environments, and the ability to balance innovation with enterprise‑grade execution at scale.
Key Responsibilities
Omnichannel Machine Learning Strategy & Solution Development
- Lead the design, development, and scaling of omnichannel ML capabilities—including sales, content and engagement ML models, content‑ranking systems, and engagement prediction frameworks.
- Establish sustainable, reproducible methodologies for building and deploying ML solutions, ensuring long‑term maintainability and alignment with enterprise architecture and commercial strategy.
- Partner with Marketing Science measurement teams to incorporate analytical feedback, performance insights, and validation results into model enhancements and roadmap evolution—without owning measurement design itself.
- Conduct technical feasibility assessments for omnichannel solution development and collaborate with IT and Commercial Operations on buy‑vs‑build decisions.
- Define platform and infrastructure needs in partnership with IT, ensuring efficient data pipelines, model execution environments, and integration into commercial systems (e.g., CRM, orchestration platforms).
Cross‑Functional Omnichannel & ML Initiatives
- Serve as a commercial point of contact for enterprise‑wide ML policies, model governance, and data science integration work streams, ensuring that omnichannel ML use cases adhere to regulatory and compliance requirements.
- Collaborate with global affiliates to understand market‑specific omnichannel needs and translate them into…
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