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Sr Manager, Marketing Sciences

Job in Parsippany-Troy Hills, Morris County, New Jersey, USA
Listing for: Gilead Sciences
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Sr Manager, 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.

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

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 Sr. Manager, Marketing Sciences to drive 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.

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 related functions.
  • Drive Data science projects end‑to‑end, converting unstructured business questions into data science solutions, being a hands‑on expert who knows how to code and debug, and communicating with stakeholders.
  • Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models.
  • Use 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 schedules 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

• Results orientation – thrive in a fast‑paced, high‑growth environment, drive and meet goals, take ownership of problems and make decisions to move forward.

Team leadership – build, develop, and motivate a team, effective hiring, coaching, mentoring, and fostering inclusive culture.

• Strategic orientation – articulate evolving priorities, identify market opportunities, and build/execute specific, segmented strategies with measurable impact.

• Collaboration and influence – influence without ownership, using fact‑based persuasion, persistence, and building credibility and trust with key stakeholders.

Basic Qualifications
  • Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years’ Experience.
  • Strong working knowledge of machine learning algorithms (regression, clustering, neural networks, Bayesian models, RNN, CNN, tree‑based algorithms, SMOTE).
  • Experience in building, implementing and using AI‑based solutions with proven business impact.
  • Strong leadership, able to manage initiatives from beginning to end independently.
  • Effective written and verbal communication skills.
Preferred Experience
  • Experience implementing, optimizing and using AI‑based solutions to establish proven business impact.
  • Experience with standard pharma and consumer data types such as patient claims, Xponent, Plantrak, sales, activity.
  • Expertise in datasets like IQVIA, Symphony, Komodo, Optum, Definitive Health, Health Verity,…
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