Grad Safety Risk Analytics Intern

Amgen Inc.; United States; Remote; USD 49,000 - 57,000; Full time

Job summary

Amgen seeks a Grad Intern for Target Safety Risk Weighting and Evaluation Strategies (Summer 2027) to help design workflows that ingest multi-omics and clinical data, surface mechanistic insights, and support safety strategy with toxicologists and data scientists.

The role offers hands-on experience in AI-driven safety assessments, codebase contributions, and stakeholder presentations, within a collaborative, mission-driven environment.

Qualifications

• Must be enrolled in an accredited college/university and available for full-time internship.
• Preferred in Toxicology, Computational Biology, Bioinformatics, Computer/Data Science, Life Sciences, or related field.
• Proficiency in Python and R for data analysis and modeling (pandas/NumPy/scikit-learn; tidyverse/Bioconductor).
• Experience with AI coding tools (Codex, Claude) and NLP basics.

Responsibilities

• Assist design and integration of tools that accelerate safety assessments from discovery through post-marketing.
• Ingest multi-omics datasets, clinical adverse event data, and internal data to surface mechanistic insights.
• Score/weight potential safety concerns and support non-clinical safety strategy.

Skills

Python

R

Data analysis

NLP/LLMs

Education

Graduate degree programs (MBA, Master, PharmD, PhD)

Tools

Jupyter

SQL

Git/GitHub

R Markdown

Bioconductor

Job description

Amgen seeks a Grad Intern for Target Safety Risk Weighting and Evaluation Strategies (Summer 2027) to help design workflows that ingest multi-omics and clinical data, surface mechanistic insights, and support safety strategy with toxicologists and data scientists.

The role offers hands-on experience in AI-driven safety assessments, codebase contributions, and stakeholder presentations, within a collaborative, mission-driven environment.