Director, Marketing Sciences

Director, Data Science

Gilead's mission is to discover, develop, and deliver therapies that will improve the lives of patients with life-threatening illnesses worldwide.

We are seeking a visionary Director, Data Science, to lead high-impact, cross-functional initiatives across therapeutic areas (TAs) that drive strategic value and innovation throughout the organization. This role will partner with diverse stakeholders and data science peers to establish best practices, streamline operations, and deliver measurable improvements in driving business performance, team efficiency, and cost optimization.

This role reports to the Sr. Director, Marketing Sciences and may be based in Parsippany (NJ), or Foster City (CA).

The ideal candidate will bring deep expertise in healthcare data and a strong track record of applying advanced analytics and AI / ML techniques to inform decision-making and improve patient outcomes. This leader will drive initiatives such as : Defining and implementing best practices in data science across teams and TAs; Championing scalable, reusable solutions that accelerate insight generation and operational excellence; Lead cross TAs and cross functional data science initiatives including advancing cross-functional collaborations on initiatives like the Medical Digital Assistant, HCP to account mapping, Stigma measurement and etc.

Success in this role requires a strategic mindset, technical depth, and the ability to influence and align stakeholders across functions to shape the future of data science within the enterprise. Hands on functional expertise, highly collaborative mindset and leadership skillsets required.

Responsibilities :

• Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets.
• Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc.
• Lead Data science projects end to end include convert unconstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, communicate with stakeholders and etc.
• Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models.
• Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use.
• Create data science products that can be refreshed, reproduced and replicated.
• Work with other Data Scientists to define retraining schedule and measure propensity models for impact.
• Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa.
• Excellent communication and ability to abstract backend complexity where it is not needed.

Competencies :

Basic Qualifications :

Preferred Experience :

People Leader Accountabilities :

The salary range for this position is : Bay Area : $226,185.00 - $292,710.00. Other US Locations : $205,615.00 - $266,090.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans