Grad Intern Target Safety Risk Weighting and Evaluation Strategies Summer 2027

Location: Washington, District of Columbia Employment Type: Full time

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Grad Intern – Target Safety Risk Weighting and Evaluation Strategies (Summer 2027)

What You Will Do

Let’s do this. Let’s change the world. During this program, you will help design and integrate tools that accelerate safety assessments from early discovery through post-marketing. You’ll build practical workflows that ingest molecular -omics datasets, clinical adverse event data, and internal data from pre-clinical models to surface mechanistic insights, score/weight potential safety concerns, and support non-clinical safety strategy while working closely with toxicologists, clinical safety scientists, computational biologists, and data engineering partners.

Key Responsibilities

Use and refine AI tools for data aggregation, processing, interpretation, and automated report generation across safety workflows Integrate multimodal data (public and internal)—including omics, preclinical findings, clinical safety signals, and real-world evidence—into coherent risk scoring/weighting methods to facilitate risk-based decision making Generate mechanistic off-target hypotheses and pathway-level safety rationales to support internal safety evaluation strategies Write clear documentation (methods, assumptions, limitations) and contribute to codebase for Target Safety Scoring Assessment 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

What you will gain

Real-world impact: Contribute tools that directly inform target safety assessments and decision-making across Amgen programs.

End-to-end experience: From problem scoping and data ingestion to evaluation, validation, and communication—owning meaningful pieces of the workflow.

Scientific depth: Exposure to translational safety science, mechanistic biology, real-world datasets, and how multi-omics datasets and literature evidence build risk narratives.

Mentorship & feedback: Regular guidance from TSRS scientists, data scientists, and engineers; opportunities to present to stakeholders.

Career readiness: Mentored research experience working within a collaborative, mission-driven team at the intersection of AI and safety sciences.

Program Eligibility Requirements

Must be available to work a full-time schedule.

Expected continued enrollment in an accredited college or university following the internship program / co-op Student must be located in the United States for the duration of the internship program

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The individual we seek is willing to embrace new challenges, shows enthusiasm for learning and exploring unfamiliar topics, and has these qualifications:

Basic Qualifications

Amgen requires that all individuals applying for a grad internship or a co-op assignment at Amgen must meet the following criteria:

18 years or older

Graduated with a bachelor’s degree from an accredited college or university Currently enrolled in an MBA program for an MBA internship OR a Master’s program for a Master’s internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Master’s OR Pharm D OR Ph.D. program before the internship starts

Preferred Qualifications

Degree concentration(s) in Toxicology, Computational Biology, Bioinformatics, Computer/Data Science, Life Sciences, or a related field Completion of at least 1 year of graduate study by the start of the internship

• Proficiency in Python and R for data analysis and modeling (pandas/NumPy/scikit-learn; tidyverse/Bioconductor).
• Proficiency with AI coding tools (Codex, Claude)
• Experience with Jupyter/R Markdown, SQL, Git/GitHub, and environment management.
• 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 safety assessment, off-target mechanisms, and translational safety principles
• Familiarity with APIs or simple workflow orchestration; basic cloud literacy (AWS) a plus
• Experience building dashboards or internal utilities (e.g., Shiny) is a plus

What You Can Expect of Us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the wa