Grad Intern – Bioinformatics Technologies (Summer 2025)

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. 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 – Bioinformatics Technologies (Summer 2025)

What You Will Do

Let’s do this. Let’s change the world. During this program, you will We are actively seeking a highly qualified and motivated grad intern with a strong background in computational biology. The grad intern will join the Bioinformatics Technologies team within Amgen’s Center for Research Acceleration by Digital Innovation. Our organization is a multi-disciplinary effort embedded within our drug discovery engine that continually uses advancement in digital technologies for disease modeling and digital modality engineering to accelerate our pipeline from target inception through drug development. The Bioinformatics Technologies team plays an integral role in establishing an innovation engine for deploying and exploiting emerging digital technologies in the field of computational biology.

Spatial omics technologies integrate spatially resolved sequencing, protein quantification and image analysis to uncover molecular and cellular interactions within the tissue microenvironment. This enables the study of gene expression within the context of tissue architecture, offering insights into cellular interactions and spatial organization. This technology can accelerate drug discovery by deepening and enhancing our understanding of disease biology, identifying novel biomarkers, and optimizing therapeutic targets in their native tissue environments. In this role, you will design and implement innovative computational methods to advance the discovery of biological insights from spatial omics data.

The successful candidate will possess strong analytical aptitude, have a high degree of technical competency in computational sciences with a theoretical understanding of machine learning and graph theory, paired with excellent understanding of molecular biology, ideally experience with spatial sequencing technologies, proven by a track record of innovative and collaborative research. An ability to communicate clearly and collaborate effectively with colleagues from different fields will be essential.

In this role, you will:

This internship will leverage advanced computational methods and AI/ML techniques to develop innovative solutions that deepen our understanding of tissue architecture and cellular interactions. You will work closely with senior-level scientists to design, develop, and implement AI/ML models aimed at optimizing the analysis and interpretation of spatial omics data, advancing research on tissue structure and function. This technology is crucial for accelerating drug discovery by identifying novel biomarkers, enhancing our understanding of disease mechanisms, and refining therapeutic targets in their native tissue environments.

Your role will involve:

• Designing and implementing AI/ML models to analyze spatial omics data, including training, validation, and performance evaluation with a focus on capturing tissue-specific patterns and biological insights essential for drug discovery
• Reviewing relevant literature to stay up to date with the latest AI/ML techniques applied to spatial omics, tissue research, and their role in understanding disease mechanisms
• Contributing to experiments to inspire new computational strategies and refine data collection methods, improving how spatial omics can uncover novel therapeutic targets and insights into tissue-specific biological processes
• Collaborating within a cross-functional team to interpret model outputs, refine algorithms, and improve spatial data analysis

This internship offers hands-on experience in AI/ML model employment and development, data preprocessing, and algorithm optimization, with a focus on spatial omics and its potential to drive biological insights for drug discovery and therapeutic optimization.

At the conclusion of the internship, you will present a summary of your work, highlighting model improvements, key findings, and identified future directions for ML/AI-driven interpretation of spatial omics data analysis.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with 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
• Enrolled in an accredited college or university following the potential internship or co-op assignment
• Must not be employed at the time the internship starts
• Student must be located in the United States for the duration of the internship or co-op

Preferred Qualifications:

• Degree Concentration(s) in Computational Biology, Bioinformatics, Biomedical Data Science, Biostatistics, Biophysics, Computer Science, Electrical Engineering, or a similarly quantitative field
• Theoretical understanding of graph theory, statistical modeling, and machine learning/deep learning; experience with graph ML is a plus
• Knowledge of spatial omics data generation, analysis, and interpretation
• Familiar with software development good practices, including code versioning, documentation, and testing
• Fluency in scientific programming and tool development with R, Python, or equivalents
• Experience with DL/ML frameworks such as scikit-learn, PyTorch, and TensorFlow
• Innovative thinking to propose the development of novel algorithms and AI/ML models that generated interpretable and actionable results
• Creative, open-minded, and passionate about scientific research
• Strong interpersonal, collaborative, organizational, and presentation skills

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 $30 - $40 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

for an internship/co-op that defies imagination

Objects in your future are closer than they appear. Join us.

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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.

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.