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United States

Internship

Remote

$24.70/hr - $28.30/hr

Intern

Amgen is a biotechnology company focused on serving patients living with serious illnesses. The Undergrad Intern in R&D AI for Target Safety will help design and integrate AI tools to accelerate safety assessments, working closely with various scientific teams to build workflows that process and interpret data.

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Responsibilities

Develop and refine GPT/LLM tools for data aggregation, processing, interpretation, and automated report generation across safety workflows.
Build literature-mining and evidence-triage pipelines (e.g., extracting adverse findings, targets, pathways, phenotypes) to inform target safety assessments.
Integrate multimodal data (public and internal)—including omics, preclinical findings, clinical safety signals, and real-world evidence—into coherent risk narratives.
Generate mechanistic off-target hypotheses and pathway-level safety rationales to support internal safety evaluation and documentation.
Apply Responsible/Trustworthy AI practices: bias testing, interpretability, human-in-the-loop review, secure handling of sensitive data.
Write clear documentation (methods, assumptions, limitations) and contribute to automation codebase and templates for Target Liability.
Present progress and findings to TSRS stakeholders; incorporate feedback to iterate on tools and analyses.
Collaborate with TSRS team members to prioritize use cases with maximum impact.

Qualification

Required

18 years or older
Currently enrolled in a full-time Bachelor’s Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent
Completion of one year of study from an accredited college or university prior to the internship commencing
Enrolled in a full-time Bachelor’s degree program following the potential internship with an accredited college or university
Must not be employed at the time the internship starts
Student must be located in the United States for the duration of the internship

Preferred

Currently enrolled in an undergraduate program in Computational Biology, Bioinformatics, Computer/Data Science, Toxicology, Life Sciences, or a related field.
Foundational coursework in computer science, statistics/probability and data analysis, AI fundamentals, biology, or toxicology.
Proficiency in Python and R for data analysis and modeling (pandas/NumPy/scikit-learn; tidyverse/Bioconductor).
Experience with Jupyter/R Markdown, SQL, Git/GitHub, and environment management (conda/renv).
Coursework or hands-on projects in AI/ML; familiarity with NLP/LLMs (prompt engineering, retrieval-augmented generation, summarization).
Experience working with -omics datasets and biological knowledge bases/ontologies (e.g., GO, MedDRA, etc.), and public biology resources such as Open Targets or similar.
Comfort integrating heterogeneous data (e.g. preclinical, clinical, literature) and mapping to pathways/phenotypes.
Familiarity with target liability assessment, off-target mechanisms, and translational safety principles.
Familiarity with APIs or simple workflow orchestration; basic cloud literacy (AWS/Azure/GCP) a plus.
Experience building dashboards or internal utilities (e.g., Shiny) is a plus.

Benefits

Build a network of colleagues that will endure and grow throughout your time with us and beyond.
Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
Participate in executive and social networking events, as well as community volunteer projects.

Amgen is a biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

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