Sr Manager, Marketing Sciences

Sr Manager, Marketing Sciences

Location:

United States - New Jersey - Parsippany, United States - California - Foster City.

Employment Type:

Regular, Commercial/Sales Operations.

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.

We are seeking a visionary Sr. Manager, Data Science to drive high-impact, cross‑functional initiatives across therapeutic areas that deliver strategic value and innovation throughout the organization.

Key responsibilities include:

• Partner in industrializing predictive sciences to understand patient journey and market triggers.
• Translate commercial business objectives into scalable data‑science products and insights influencing marketing, sales, medical, and other functions.
• Lead end‑to‑end data‑science projects, converting unstructured business questions into solutions, coding, debugging, and stakeholder communication.
• Foster a culture of measurement and impact, continuously improving models.
• Design robust propensity and other predictive models for commercial use.
• Create reproducible, refreshable data‑science products.
• Coordinate model retraining schedules and measure impact with other Data Scientists.
• Collaborate with global teams to replicate successful models.
• Communicate complex backend concepts in accessible language.

Competencies

• Results orientation: Thrive in fast‑paced growth, drive goal achievement, manage adversity, own problems, and set milestones.
• Team leadership: Build, develop, and motivate teams; hire, coach, mentor; foster diversity and inclusion; implement succession planning.
• Strategic orientation: Articulate evolving priorities, identify opportunities, and execute segmented strategies with measurable impact.
• Collaboration and influence: Influence without ownership through competence, confidence, listening, fact‑based persuasion, integrity, and cross‑organizational dialogue.

Basic Qualifications

• Bachelor’s Degree + 8 yrs experience OR Master’s Degree + 6 yrs OR PhD + 2 yrs.
• Strong knowledge of machine‑learning algorithms (regression, clustering, neural networks, Bayesian, RNN, CNN, tree‑based, SMOTE, etc.).
• Proven experience building, implementing, and using AI‑based solutions with business impact.
• Leadership to manage initiatives end to end.
• Effective written and verbal communication.

Preferred Experience

• Implementing, optimizing, and using AI solutions with proven business impact.
• Experience with pharma and consumer data types (patient claims, Xponent, Plantrak, sales, activity).
• Knowledge of pharma datasets (IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER).
• Python expertise (numpy, pandas, scikit‑learn, seaborn, networkx).
• Understanding of cloud technologies (Databricks, S3).
• Designing measurement solutions in visualization tools (Tableau preferred).
• Product mindset and familiarity with product management principles.
• Team player, inclusive, cross‑functional, solution‑oriented.
• Knowledge of emerging data science capabilities and dataset limitations.

People Leader Accountabilities

• Drive inclusion: model diversity, embed its value.
• Develop talent: coach, give feedback, support growth.
• Empower teams: align goals, remove barriers, connect to broader ecosystem.

Salary Range:
Bay Area $169,320 – $219,120;
Other US $153,935 – $199,210.

Benefits include company‑sponsored medical, dental, vision, and life insurance, discretionary bonus, stock‑based incentives, paid time off, and other benefits. For details, visit

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment and to fostering an inclusive work environment. Employment decisions are made without discrimination based on race, color, religion, nationality, sex, age, sexual orientation, disability, gender identity, veteran status, etc. For accommodations, contact Appli

Job Level: Manager
• Full Time

To apply, return to the Gilead Careers site.