Sr Analyst, Data Scientist

Gilead Sciences seeks a senior data scientist to research and operationalize machine learning solutions for pharmaceutical development and manufacturing. The role involves developing predictive models, computer vision applications, and statistical methods while collaborating with cross-functional teams to advance analytical capabilities.

Responsibilities

• Develop and operationalize machine learning algorithms for quantitative analytics, computer vision, and predictive modeling in drug development
• Manage full ML lifecycle from requirements gathering through deployment, monitoring, and continuous improvement
• Translate scientific and business challenges into scalable, data-driven applications with measurable outcomes
• Collaborate with data engineers, lab scientists, and cross-functional teams on algorithm development and software implementation
• Promote data-driven culture by advancing responsible AI adoption and supporting well-designed experiments across the organization

Requirements

• Bachelor's degree plus 4+ years in data science, machine learning, or related field; or Master's degree plus 2+ years experience
• Advanced Python programming with demonstrated ability to write maintainable, tested, documented code
• Expertise in statistical modeling and machine learning framework selection for complex problems
• Proficiency with Python-based machine learning libraries and frameworks
• Experience with computer vision including image processing and deep learning methods
• Knowledge of data modeling, pipelines, and infrastructure for ML deployment and operationalization
• Strong communication skills for explaining model results to scientific and cross-functional audiences

Compensation: $117,895–$152,570 base