Amgen’s 10 – 12 week internship program offers meaningful project experiences that impact patient’s lives.  This internship provides the opportunity for executive and social networking events and to participate in community volunteer projects while providing a competitive compensation. 

The Grad Intern will join the Computational & Data Sciences team within Therapeutic Discovery and work at the interface of machine learning and chemistry, developing and applying machine learning-based tools for molecular design and property prediction. These tools will play an important role in guiding small molecule discovery and will be developed with guidance from computational/medicinal chemists, data scientists, and machine learning engineers.

Limited relocation housing and/or miscellaneous allowance may be available for eligible candidates.

Basic Qualifications

Amgen requires that all individuals applying for a grad internship or a co-op assignment at Amgen must meet the following criteria: 

18 years or older

Graduated with a Bachelor’s degree from an accredited college or university with a 3.0 minimum GPA or equivalent

Completion as a first year graduate student before internship starts and currently enrolled in a Master’s program for a Masters internship OR a PhD for a PhD internship from an accredited college or university

Enrolled in an accredited college or university following the potential internship or co-op assignment

Must not be employed at the time the internship starts

Preferred Qualifications

Degree concentration(s) in Computer Science, Chemistry, Physics, Applied Mathematics or related field

Knowledge of machine learning and molecular structure/electronic structure theory

Familiarity with Python and scikit-learn/TensorFlow/PyTorch

Only candidates who apply via http://careers.amgen.com/ will be considered.  Please search for Keyword 91329.

#LI-DNP