Grad Intern - Knowledge Graph Applications (Summer 2027)

Career Category

Job Description

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.

Graduate Intern - AI-Enabled Knowledge Graphs for Patient Journey Analytics

What You Will Do

Let’s do this. Let’s change the world. During this program, you will explore how artificial intelligence, knowledge graphs, and graph analytics can be used to better understand patient journeys and address complex epidemiology and real-world evidence questions-ultimately supporting our mission to serve patients.

· Design and develop a prototype knowledge graph representing longitudinal patient journeys, including relevant relationships among patient characteristics, treatments, clinical events, and outcomes.

· Identify and apply established graph algorithms to investigate epidemiology questions that can be challenging to address using traditional tabular data structures and predictive modeling approaches.

· Explore approaches for stratifying patients based on treatment patterns and outcomes and for identifying patient subgroups with similar clinical journeys.

· Use AI-assisted tools and methods to support project development-for example, accelerating knowledge graph design, data mapping, code development, documentation, and quality review-while applying appropriate human oversight, validation, and responsible AI practices.

· Evaluate additional use cases, such as identifying common treatment pathways, characterizing transitions in care, and assessing relationships among treatments, clinical events, and outcomes.

· Compare knowledge graph-based methods with selected traditional analytical approaches, documenting their relative strengths, limitations, and appropriate applications.

· Deliver reusable analytical code, technical documentation, a working prototype or demonstration, and a final presentation summarizing findings, organizational value, and recommendations for future development.

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 curious and analytical individual we seek is a collaborative problem-solver with these qualifications:

· Currently enrolled in a Master’s or PhD program in data science, computer science, artificial intelligence, biomedical informatics, biostatistics, epidemiology, computational biology, or a related quantitative discipline.

· Experience using Python, R, or a comparable programming language for data analysis, statistical modeling, machine learning, or AI application development.

· Foundational knowledge of artificial intelligence, graph theory, knowledge graphs, network analysis, graph databases, or graph-based machine learning.

· Ability to work with complex datasets and translate scientific or business questions into analytical approaches.

· Strong problem-solving, written communication, and presentation skills.

· Ability to work independently while collaborating effectively with data scientists, epidemiologists, and other cross-functional partners.

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:

· PhD or Master’s thesis work focused on graph analytics, knowledge graphs, artificial intelligence, network science, real-world data, or a closely related area.

· Experience working with healthcare real-world data, such as administrative claims, electronic health records, registries, or other longitudinal patient-level datasets.

· Familiarity with graph databases, query languages, or analytical frameworks such as Neo4j, Cypher, SPARQL, PyTorch Geometric, or comparable technologies.

· Experience applying graph algorithms for community detection, clustering, similarity analysis, path analysis, link prediction, or patient stratification.

· Experience using generative AI, large language models, machine learning, or AI-assisted development tools in an analytical or research workflow.

· Understanding of epidemiology, patient journey analysis, treatment patterns, clinical outcomes, or real-world evidence research.

· Experience developing reproducible analytical workflows and communicating technical results to scientific and nontechnical audiences.

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 way.

The base pay range for this opportunity in the U.S. is $35.34 - $41.20 per hour.

· 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.

Apply now and make a lasting impact with the Amgen team.

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Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

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

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment 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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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