Grad Intern - Drug Substance Synthetics (Organic Chemistry)

1d1 day ago

Amgen

Thousand Oaks, US · Full-time · $60,000 – $80,000

About this role

Join Amgen’s Mission of Serving Patients. At Amgen, our shared mission—to serve patients living with serious illnesses—drives all that we do. We pioneer biotech against tough diseases in oncology, inflammation, general medicine, and rare disease.

During this program, work with the Enabling Technologies group within the DSTS organization focused on high-throughput experimentation (HTE) workflows. Expand automation and digitalization capabilities central to the internship. Advance applications of data management/visualization, machine learning, cheminformatics, and predictive modeling.

Apply expertise in automation and digital workflows to advance critical HTE initiatives. Engage with scientists and engineers within the DSTS organization and across Amgen. Our award-winning culture is collaborative, innovative, and science based.

Help research, manufacture, and deliver innovative medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity. Make a lasting impact on patients’ lives. Transform the lives of patients while transforming your career.

Requirements

18 years or older
Graduated with a bachelor’s degree from an accredited college or university
Currently enrolled in a Ph.D. program from an accredited college or university with completion of first year before internship starts
Enrolled in an accredited college or university following the internship
Must not be employed at the time the internship starts
Student must be located in the United States for the duration of the internship
In process of completing PhD in Chemistry, Chemical Engineering, and/or Data Sciences with focus on organic synthesis and chemical engineering
Experience in high-throughput experimentation (HTE), advanced data analysis/visualization, machine learning, cheminformatics, and predictive modeling

Responsibilities

Work with members of the Enabling Technologies group within the DSTS organization
Execute high-throughput experimentation (HTE) workflows
Expand automation and digitalization capabilities
Advance data management/visualization, machine learning, cheminformatics, and predictive modeling to support HTE workflows
Apply expertise in automation and digital workflows to critical initiatives
Engage with scientists and engineers within the DSTS organization and across Amgen