Associate Director, Marketing Sciences

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 Description

As an Associate Director, Data Science, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. The person will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. Hands‑on functional expertise, highly collaborative mindset and leadership skillsets required.

Role will report to Sr. Director, Marketing Sciences and is office based/hybrid located in Foster City, CA or Parsippany, NJ.

Responsibilities

• Partner in driving the industrialization of predictive sciences to understand the patient journey and triggers robustly for markets.

• Understand Gilead’s commercial business objectives and develop/scalable data science products and insights to influence decisions.

• Lead data science projects end‑to‑end, convert business questions into data science solutions, guide offshore teams, code, debug and communicate with stakeholders.

• Foster a culture of measurement and impact; continuously improve models.

• Bring thought leadership and thorough understanding of statistics, predictive algorithms and methodologies to construct robust propensity models.

• Create data science products that can be refreshed, reproduced and replicated.

• Work with other scientists and analysts to define retraining schedules and measure model impact.

• Partner with global teams to cross‑pollinate ideas and replicate successful models.

• Excellent communication and ability to abstract backend complexity where it is not needed.

Competencies

Results orientation. The ideal candidate will thrive in a fast‑paced, high‑growth environment. He/She/They will have a strong drive to meet and exceed goals, take ownership of problems and make decisions to move forward.

Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team.

Strategic orientation. The successful candidate can articulate evolving priorities, identify market opportunities and adapt short‑term plans.

Collaboration and influence. The qualified candidate must influence without ownership, with competence, confidence, accessibility and persuasion.

Basic Qualifications

• Bachelor’s Degree and 10 Years’ Experience, Master’s Degree and 8 Years’ Experience or PhD and 5 Years’ Experience.

• Strong working knowledge of machine learning algorithms and AI‑based solutions with proven business impact.

• Strong leadership capable of managing initiatives from beginning to end himself/herself.

• Effective written and verbal communication skills.

Preferred Experience

• Experience optimizing AI‑based solutions for proven business impact.

• Experience with pharma and consumer data types and sources: patient claims, Xponent, Plantrak, sales, activity.

• Expertise in pharm‑specific datasets: IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER.

• Python proficiency: numpy, pandas, scikit‑learn, seaborn, networkx, etc.

• Data science techniques: ANCOVA, Bayesian…