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Amgen Logo Amgen · IT - Software Development

Clinical App & Analytical Services Manager

United States, Thousand Oaks 130065.00 - 155856.00 USD / Year · Job Posted May 06, 2026
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Job Responsibility

  • Develop and apply mathematical and statistical theory and methods to collect, organize, interpret, and summarize data
  • Partner with cross-functional team members, by guiding discussions on optimized methods for data collection, standardization, governance, and reporting in order to develop innovative, analytical solutions
  • Direct management and oversight of vendor services, ensuring quality and timeliness of vendor product delivery
  • Provide insights, business intelligence, and management analytics for effective decision making in alignment with Global Networks and Continuous Improvement strategies
  • Demonstrate Business Process Owner (BPO) contacts to champion reporting needs
  • Support study team activities, operating review meetings, and management requests through the delivery of information to support performance progress
  • Perform quality oversight including quality gate controls validating deployment releases
  • Plan, track, and ensure execution of products and services via Functions Service Providers (FSPs)
  • May telecommute

Requirements

  • Master’s degree (or foreign equivalent) in Statistics, Data Science, Quantitative Sciences, or related field & 2 years of experience in the job offered or in a data science or analytics-related occupation
  • Statistics including statistical inference and A/B Testing, machine learning algorithms including: Generalized Linear Model, tree-based, ensemble learning, and Natural Language Processing, and deep learning algorithms
  • Programming languages including: Python, Pandas, scikit-learn, XGboost Natural Language Toolkit, R, and SQL
  • Analytics and data visualization tools including: Databricks, AWS, Tableau and Power BI
  • Integrating and analyzing large-scale healthcare datasets, including electronic health records, medical and pharmacy claims including: ICD10 diagnosis codes, procedure codes, National Drug Codes, health plan data, and clinical laboratory results
  • Building standard data pipeline into centralized analytical platforms or data lakes to enable downstream analytics, health reporting, and Machine Learning use cases
  • Developing automated health reporting solutions using business intelligence or visualization tools including: Tableau and Power BI to monitor population health, program performance, and operational Key Performance Indicators
  • Designing and implementing risk scores, health economics metrics, and health analytics to support population health management, financial performance, and clinical decision-making
  • Developing and deploying end-to-end machine learning and advanced statistical models to solve healthcare or biopharmaceutical challenges and support clinical care and disease management
  • Modern analytics and MLOps platforms or frameworks including: Databricks, MLflow, and Airflow to build, deploy, and monitor data and Machine Learning pipelines in production environments
  • Leading data science or analytics initiatives in healthcare or biopharmaceutical setting, including translating complex clinical and business problems into analytics roadmaps and artificial intelligence and machine learning use cases
  • Collaborating with cross-functional stakeholders to define requirements, interpret analytic results, and drive implementation and adoption of analytic solutions

What we offer

  • stock
  • retirement
  • medical
  • life insurance
  • disability insurance
  • eligibility for an annual bonus
  • health and welfare plans for staff and eligible dependents
  • financial plans with opportunities to save towards retirement or other goals
  • work/life balance
  • career development opportunities
  • Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • discretionary annual bonus program
  • stock-based long-term incentives
  • award-winning time-off plans
  • flexible work models, including remote and hybrid work arrangements, where possible
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