Join Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovativ

What you will do

• Identify trends, root causes, and potential improvements in products and processes
• Develop and deploy basic machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets
• Create analytics solutions to address customer needs and opportunities
• Collect, clean, and manage large datasets related to product performance and patient complaints
• Ensure data integrity, accuracy, and accessibility for further analysis
• Develop and maintain databases and data systems for storing patient complaints and product feedback
• Analyze data to identify patterns, trends, and correlations in patient complaints and product issues
• Use advanced statistical methods and machine learning techniques to uncover insights and root causes
• Develop analytics or predictive models to foresee potential product issues and patient concerns
• Prepare comprehensive reports and visualizations to communicate findings to key collaborators
• Present insights and recommendations to cross-functional teams
• Collaborate with regulatory and compliance teams to ensure adherence to healthcare standards and regulations
• Find opportunities for product enhancements and process improvements based on data analysis
• Work with product complaint teams to implement changes and monitor their impact
• Stay abreast of industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics
• Evaluate data to support product complaints
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
• Perform exploratory and targeted data analyses using descriptive statistics and other methods
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes

What we expect of you

• Master’s degree and 1 to 3 years of Data Science experience with one or more analytic software tools or languages, and data visualization tools
• Bachelor’s degree and 3 to 5 years of Data Science experience with one or more analytic software tools or languages, and data visualization tools
• Diploma and 7 to 9 years of Data Science experience with one or more analytic software tools or languages, and data visualization tools
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
• Experience in analyzing time-series data for forecasting and trend analysis
• Experience with Data Bricks platform for data analytics
• Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements

Must-Have Skills

• Applied analytics
• Descriptive statistics
• Feature extraction
• Predictive analytics
• Statistical techniques
• Hypothesis testing
• Regression analysis
• Clustering
• Classification
• Time-series data analysis
• Forecasting
• Trend analysis
• Data Bricks platform
• Healthcare data analysis
• Machine learning
• Operational research
• Semantic analysis
• Data visualization
• Data management
• Database development

What you can expect of us

• Competitive benefits
• Collaborative culture
• Support for professional and personal growth and well-being
• Competitive and comprehensive Total Rewards Plans aligned with local industry standards