Sr Analyst, Data Scientist

Key Responsibilities:

• Research and develop machine learning algorithms across quantitative analytics, computer vision, predictive analytics, and advanced statistical modeling to improve pharmaceutical development and manufacturing processes.
• Manage the full machine learning model lifecycle, including requirements gathering, exploratory data analysis, visualization, model development, validation, deployment, monitoring, and continuous improvement.
• Support end-to-end algorithm and application development, including software package development, compute environment configuration, model architecture, code reviews, testing, documentation, and operationalization.
• Translate scientific and business challenges into practical data science solutions with measurable technical, scientific, and operational outcomes.
• Apply best practices in machine learning, software engineering, reproducibility, and model governance to ensure deliverables are reliable, scalable, maintainable, and high quality.
• Collaborate with multidisciplinary technical teams, including data science architects, data engineers, analysts, project managers, laboratory scientists, and application developers.
• Partner with stakeholders in an agile environment to scope, prioritize, plan, design, and execute artificial intelligence and machine learning projects.
• Work cross-functionally with analytical development, manufacturing, IT, and technical development teams to advance AI-driven applications and improve scientific and business outcomes.
• Promote a data-driven culture by encouraging quantitative decision-making, supporting well-designed experiments, identifying organizational capabilities and needs, and advancing responsible AI adoption.
• Communicate complex analyses and model results through clear reports, visualizations, presentations, and recommendations tailored to scientific and cross-functional audiences.

  Basic Qualifications:

  • Bachelor’s degree with at least 4 years of relevant experience in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Statistics, Chemical Engineering, or a related discipline.

    OR

    • Master’s degree with at least 2 years of experience in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Statistics, Chemical Engineering, or a related discipline.
    • Strong Python programming skills, including experience developing maintainable, reusable, documented, and well-tested analytical or machine learning code.
    • Advanced statistical and computational modeling expertise, with the ability to select, develop, validate, interpret, and improve models for complex problems.
    • Advanced proficiency with Python-based machine learning frameworks and libraries.
    • Experience with computer vision, including classical image-processing methods and deep learning approaches.
    • Knowledge of data modeling, architecture, pipelines, and infrastructure required to deploy and operationalize machine learning solutions.
    • Strong written, verbal, and visual communication skills, particularly when explaining model performance, limitations, findings, and recommendations.
    • Demonstrated collaboration, problem-solving, and project execution skills within multidisciplinary environments.

      Preferred Qualifications:

      • Experience applying data science or machine learning in pharmaceutical development, manufacturing, analytical sciences, or another regulated scientific environment is preferred.

        
         The salary range for this position is: $117,895.00 - $152,570.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.

        For additional benefits information, visit:

        https://www.gilead.com/careers/compensation-benefits-and-wellbeing

        * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.

        
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