Grad Intern in Target Safety Risk Weighting

Join Amgen's Mission of Serving Patients

Amgen's shared mission is to serve patients living with serious illnesses. Since 1980, the company has helped pioneer biotech in the fight against some of the world's toughest diseases. With four therapeutic areas (Oncology, Inflammation, General Medicine, and Rare Disease), Amgen reaches millions of patients each year.

The company is advancing a broad pipeline of medicines for cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. Interns help research, manufacture, and deliver innovative medicines that help people live longer, fuller lives.

The culture is collaborative, innovative, and science based. Those who enjoy challenges will do well on the Amgen team.

What You Will Do

During this program, you will help design and integrate tools that speed up safety assessments from early discovery through post-marketing. You will build practical workflows that ingest molecular -omics datasets, clinical adverse event data, and internal preclinical data to surface mechanistic insights, score and weight potential safety concerns, and support non-clinical safety strategy. You will work 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 risk scoring and weighting methods that support risk-based decisions
• 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 the codebase for Target Safety Scoring Assessment
• Present progress and findings to TSRS stakeholders and incorporate feedback to iterate on tools and analyses
• Work with TSRS team members to prioritize use cases with the greatest impact

What you will gain:

• Real-world impact: Tools that directly inform target safety assessments and decisions across Amgen programs.
• End-to-end experience: From problem scoping and data ingestion to evaluation, validation, and communication.
• Scientific depth: Exposure to translational safety science, mechanistic biology, real-world datasets, and how multi-omics and literature evidence build risk narratives.
• Mentorship and feedback: Regular guidance from TSRS scientists, data scientists, and engineers, with chances to present to stakeholders.
• Career readiness: Mentored research experience on a collaborative, mission-driven team at the intersection of AI and safety sciences.

What We Expect of You

The individual Amgen seeks is willing to embrace new challenges, shows enthusiasm for learning unfamiliar topics, and meets the qualifications below.

Preferred Qualifications

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

Additional Skills

• 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 or R Markdown, SQL, Git/GitHub, and environment management
• Coursework or hands-on projects in AI/ML, with familiarity with NLP/LLMs (prompt engineering, retrieval-augmented generation, summarization)
• Experience with -omics datasets and biological knowledge bases or ontologies (e.g., GO, MedDRA), plus public resources such as Open Targets
• Comfort integrating heterogeneous data (preclinical, clinical, literature) and mapping it to pathways and phenotypes
• Familiarity with target safety assessment, off-target mechanisms, and translational safety principles
• Familiarity with APIs or simple workflow orchestration; basic cloud literacy (AWS) is a plus
• Experience building dashboards or internal utilities (e.g., Shiny) is a plus

What You Can Expect of Us

Amgen works to develop treatments that take care of others and also to support your professional and personal growth and well-being, from competitive benefits to a collaborative culture.

• Build a network of colleagues that will last throughout your time with Amgen and beyond.
• Bring your authentic self and grow into the professional you want to be in a culture that values diversity of thought and experience.
• Take part in executive and social networking events, as well as community volunteer projects.

Sponsorship

Candidates must be authorized to work in the U.S. for the duration of this program. Sponsorship for future full-time roles is not guaranteed.

Amgen is an Equal Opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. Reasonable accommodation is available to individuals with disabilities during the application or interview process.