Amgen · 1 day ago
Graduate Intern - R&D AI for Target Safety
United States
Internship
Remote
Intern
$24.70/hr - $28.30/hrAmgen is dedicated to serving patients living with serious illnesses and is seeking an undergraduate intern for their R&D AI & Translational Safety Data Science team. The intern will help design and integrate AI tools for safety assessments, collaborating with various teams to develop workflows that enhance data processing and analysis.
BiotechnologyHealthcareManufacturingPharmaceuticalHealth Care
No H1B
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.
Company
Amgen
Amgen is a biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
Founded in 1980
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$28.5B2022-12-12Post Ipo Debt· $28.5B
1983-06-17IPO
Leadership Team
Robert Bradway
Chairman and Chief Executive Officer
Jay Bradner
Executive Vice President of R&D, and Chief Scientific Officer
Recent News
Sports Business Journal
2026-02-08
Pharma Letter
2026-02-07
Labiotech UG
2026-02-07
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