Gilead Sciences · 2 days ago
Associate Director, Marketing Sciences
Parsippany, NJ
Full-time
Onsite
Lead/Staff, Director/Executive
$178K/yr - $230K/yr
8+ years expGilead Sciences is committed to creating a healthier world for all people, tackling significant diseases and improving lives. The Associate Director of Marketing Sciences will lead the design, development, and scaling of advanced machine learning capabilities to enhance data-informed commercial decision making, collaborating closely with cross-functional teams to operationalize solutions and ensure ongoing model performance.
BiopharmaBiotechnologyHealth CareManufacturingPharmaceutical
Responsibilities
Lead the design, development, and scaling of omnichannel machine‑learning capabilities—including sales, content and engagement machine learning models, content‑ranking systems, and engagement prediction frameworks—to support data‑informed commercial decision making
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)
Serve as a commercial point of contact for enterprise‑wide ML policies, model governance, and data science integration workstreams, ensuring that omnichannel ML use cases adhere to regulatory and compliance requirements
Collaborate with global (US and ex‑US) affiliates to understand market‑specific omnichannel needs and translate them into scalable use cases; act as subject‑matter expert for Omnichannel and ML‑driven engagement solutions across regions
Partner with GDI, Digital, and US Commercial teams to plan and operationalize Omnichannel ML rollouts, ensuring consistency, sustainability, and alignment to global standards
Introduce industry best practices in data science, ML engineering, and MLOps—focusing on omnichannel personalization, customer engagement, and commercial analytics
Qualification
Required
Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and ten (10) years of relevant experience
Master's degree in a relevant quantitative field and eight (8) years of relevant experience
PhD in a relevant quantitative field and two (2) years of relevant experience
Preferred
Bachelor's degree with 10+ years, Master's degree with 8+ years, or PhD with 6+ years of experience in data science, machine learning engineering, analytics, computer science, or related quantitative fields
Proven experience developing, deploying, and scaling machine‑learning solutions in commercial or omnichannel environments (e.g., next‑best‑action, personalization models, engagement prediction)
Demonstrated success operationalizing ML solutions from pilot to production, including data pipeline design, MLOps, model monitoring, and performance optimization
Experience collaborating with measurement, insights, and commercial analytics teams to integrate validation feedback and refine ML‑driven recommendations
Strong ability to translate complex technical concepts into clear, business‑focused narratives tailored for senior commercial stakeholders
Deep understanding of omnichannel data structures (HCP engagement, CRM, digital behaviors) and familiarity with pharmaceutical commercial processes and compliance considerations
Ability to influence cross‑functional partners, drive alignment, and lead enterprise‑scale technical initiatives in a matrixed organization
Benefits
Discretionary annual bonus
Discretionary stock-based long-term incentives (eligibility may vary based on role)
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans
Company
Gilead Sciences
Gilead Sciences is a biopharmaceutical company that discovers, develops, manufactures and commercializes therapies for critical diseases.
10001+ employees
H1B Sponsorship
Gilead Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (269)
2024 (241)
2023 (222)
2022 (208)
2021 (235)
2020 (187)
Funding
Current Stage
Public CompanyTotal Funding
$4.41BKey Investors
Abingworth
2024-11-13Post Ipo Debt· $3.5M
2024-02-29Post Ipo Equity· $210M
2023-09-07Post Ipo Debt· $2B
Leadership Team
Keeley Wettan
Senior Vice President, Legal
Patrick Loerch
Senior Vice President, Clinical Data Science
Recent News
2026-02-06
Longevity.Technology
2026-02-06
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