Gilead Sciences · 1 hour ago
Sr Manager, Marketing Sciences
San Francisco Bay Area
Full-time
Onsite
Senior Level
$169K/yr - $219K/yr
6+ years expGilead Sciences is focused on creating a healthier world for all people through innovative therapies. They are seeking a visionary Sr. Manager, Data Science to drive high-impact initiatives across therapeutic areas, focusing on data science best practices and operational excellence to improve patient outcomes.
BiopharmaBiotechnologyHealth CareManufacturingPharmaceutical
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
Drive Data science projects end to end include convert unconstructured business questions into data science solutions, be a hands-on expert 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
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
Qualification
Required
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, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc
Experience in building, implementing and using AI-based solutions with proven business impact
Strong leadership that be able to manage initiatives from beginning to end himself/herself
Effective written and verbal communication skills
Preferred
Experience in implementing, optimizing and using AI-based solutions to establish proven business impact
Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity
Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER
Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc
Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc
Understanding of cloud-based technologies and tools such as Databricks, S3, etc
Experience designing measurement solutions in any visualization software (Tableau preferred)
Demonstrated product mindset
Familiarity with product management principles
Effective written and verbal communication skills
Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset
Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care
Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces
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
2025-12-30
BioWorld Financial Watch
2025-12-29
Company data provided by crunchbase