Graduate Intern: Safety Risk Analytics & AI Tools

BioSpace; Washington (District of Columbia); On-site; USD 49,000 - 57,000; Full time

Job summary

Amgen invites applications for a Grad Intern position in Target Safety Risk Strategies (TSRS) for Summer 2027. The role focuses on designing and integrating tools to accelerate safety assessments from discovery to post-marketing.

You will ingest multi-omics and clinical data, surface mechanistic insights, and support safety strategy with a strong emphasis on data-driven risk scoring. You will collaborate with toxicologists, clinical safety scientists, computational biologists, and data

Qualifications

• 18 years or older.
• Graduated with a bachelor’s degree from an accredited college or university.
• Currently enrolled in an MBA, Masters, PharmD, or PhD program and will complete the first year before internship starts.

Responsibilities

• Use and refine AI tools for data aggregation, processing, interpretation, and automated report generation across safety workflows.
• Integrate multimodal data into risk scoring/weighting methods to support risk-based decision making.
• Generate mechanistic hypotheses and safety rationales to support internal safety evaluation strategies.
• Write documentation and contribute to codebase for Target Safety Scoring Assessment.
• Present progress to TSRS stakeholders and incorporate feedback to iterate on tools.

Skills

Python

R

AI tools

NLP/LLMs

Dashboards

APIs

Data integration

Education

Bachelor's degree (required)

Currently enrolled in MBA/ Masters/ PhD program

PharmD program (preferred)

Tools

Jupyter

R Markdown

SQL

Git/GitHub

Cloud basics (AWS)

Job description

Amgen invites applications for a Grad Intern position in Target Safety Risk Strategies (TSRS) for Summer 2027. The role focuses on designing and integrating tools to accelerate safety assessments from discovery to post-marketing.

You will ingest multi-omics and clinical data, surface mechanistic insights, and support safety strategy with a strong emphasis on data-driven risk scoring. You will collaborate with toxicologists, clinical safety scientists, computational biologists, and data