Undergrad Intern – Data Scientist – Amgen’s Technology & Medical Organizations (Summer 2027)

Summary

Amgen is a biotechnology company focused on serving patients living with serious illnesses through innovative medicines. The Data Scientist Undergrad Intern will analyze large volumes of data, develop predictive models, test statistical methods and data sources, and create automated capabilities for converting unstructured data into structured content for analysis and modeling.

Responsibilities

• Executing/analyzing data analysis and modeling projects from design and processing of data
• Testing new statistical analysis methods, software and data sources for continual improvement of quantitative solutions
• Developing new ways for scientists to utilize data from multiple sources
• Developing automated capability to read unstructured data and convert it to structured content that is available for analysis and modeling

Skills

• Expected completion of one year of study from an accredited college or university prior to the internship commencing
• Expected continued enrollment in an accredited college or university following the internship program
• Student must be located in the United States for the duration of the internship program
• Must be available to work a full-time schedule
• Must be available to accept and commit to future full-time employment by July 2028, if offered
• 18 years or older
• Currently enrolled in a full-time Bachelor's Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent
• Candidates should be able to demonstrate knowledge of advanced statistical techniques to build high performing predictive models and creativity to utilize these skills to address business objectives and client needs
• Candidates must be authorized to work in the U.S. for the duration of this program
• Degree concentration(s) in Information Technology, Computer Science (e.g., CS, CPE, SE), Engineering, Business, or related field
• Biotechnology, pharmaceutical or health care industry experience
• Intermediate knowledge of Microsoft Word, Excel and Power Point
• Strong interpersonal, project management, analytical and quantitative skills
• Proficient in one of the coding languages (Python, Java, Scala, SQL)
• Detail oriented
• Demonstrated personal initiative, self-motivation, flexibility, adaptability and resourcefulness
• Ability to operate independently, across functional lines, and with both internal and external customers
• Coursework in one or more of the following areas: Business Systems analysis, Lean, Agile (SCRUM) and other SDLC processes, Software Development, Database Modeling, Web Design and Development, IT Management, Management of Cloud based application, B2B Collaboration, Enterprise systems such as configuration and management of ERP, CRM systems

Qualifications

Must Haves

• Expected completion of one year of study from an accredited college or university prior to the internship commencing
• Expected continued enrollment in an accredited college or university following the internship program
• Student must be located in the United States for the duration of the internship program
• Must be available to work a full-time schedule
• Must be available to accept and commit to future full-time employment by July 2028, if offered
• 18 years or older
• Currently enrolled in a full-time Bachelor's Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent
• Candidates should be able to demonstrate knowledge of advanced statistical techniques to build high performing predictive models and creativity to utilize these skills to address business objectives and client needs
• Candidates must be authorized to work in the U.S. for the duration of this program

Nice to Haves

• Degree concentration(s) in Information Technology, Computer Science (e.g., CS, CPE, SE), Engineering, Business, or related field
• Biotechnology, pharmaceutical or health care industry experience
• Intermediate knowledge of Microsoft Word, Excel and Power Point
• Strong interpersonal, project management, analytical and quantitative skills
• Proficient in one of the coding languages (Python, Java, Scala, SQL)
• Detail oriented
• Demonstrated personal initiative, self-motivation, flexibility, adaptability and resourcefulness
• Ability to operate independently, across functional lines, and with both internal and external customers
• Coursework in one or more of the following areas: Business Systems analysis, Lean, Agile (SCRUM) and other SDLC processes, Software Development, Database Modeling, Web Design and Development, IT Management, Management of Cloud based application, B2B Collaboration, Enterprise systems such as configuration and management of ERP, CRM systems

Benefits

• Remote work arrangement
• Participate in executive and social networking events
• Participate in community volunteer projects