Remote Grad Intern: Computational Chemistry (Summer 2027)

Amgen Inc.; United States; Remote; USD 48,000 - 56,000; Full time

Job summary

Amgen Inc. is offering a Grad Intern position in Computational Chemistry for Summer 2027, with remote work in the United States. The role focuses on developing computational chemistry methods, training AI/ML models, and collaborating across interdisciplinary teams to drive drug discovery efforts.

The intern will gain experience with DFT calculations, QM software, and high-performance computing environments, while contributing to manuscript-ready results and reproducible research practices.

Qualifications

• Bachelor’s degree or higher; eligible for internship program.
• Strong background in computational chemistry and data science.
• Experience with DFT and conformational sampling tools is preferred.

Responsibilities

• Develop and implement computational chemistry methods to compute DFT energies and descriptors.
• Train and evaluate AI/ML models to support the Design-Make-Test-Analyze cycle.
• Collaborate with interdisciplinary teams for project execution.
• Review and summarize relevant literature, report findings clearly.
• Document methods to ensure reproducible research.

Skills

Python programming

Machine learning

DFT calculations

Conformational sampling

Unix/Linux

Git version control

Team collaboration

Education

Bachelor's degree in Chemistry/Computational Chemistry

Enrollment in MBA/Master’s/PharmD/PhD internship program

Tools

Gaussian

Jaguar

Psi4

GAMESS

PyMOL

VMD

Job description

Amgen Inc. is offering a Grad Intern position in Computational Chemistry for Summer 2027, with remote work in the United States. The role focuses on developing computational chemistry methods, training AI/ML models, and collaborating across interdisciplinary teams to drive drug discovery efforts.

The intern will gain experience with DFT calculations, QM software, and high-performance computing environments, while contributing to manuscript-ready results and reproducible research practices.