Graduate Intern – R&D Predictive Nonclinical Safety Models

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. 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 – R&D Predictive Nonclinical Safety Models

What You Will Do

Let’s do this. Let’s change the world. During this program, you will internalize, reproduce, and validate published small molecule predictive safety models for drug-induced liver injury and cardiovascular risk assessment to better understand their performance, interpretability, and applicability to real-world toxicological data. Your work will help Amgen bridge the gap in predictive safety modeling and biological understanding — a critical step toward designing safer and more effective medicines.

This internship offers a unique opportunity for graduate students to apply advanced data science methods to meaningful biological problems, under the mentorship of experienced computational scientists and toxicologists. The successful candidate will work closely with scientists across data science and toxicology to reproduce, benchmark, and refine existing models using in-house and public datasets.

• Reproduce and evaluate a defined set of published machine learning models for toxicity prediction and other safety endpoints.
• Implement and adapt models using Python and R, applying best practices in model development, validation, and documentation.
• Compare and benchmark models using public and internal datasets to understand their robustness and translational relevance.
• Assess model performance using public and internal datasets to understand their robustness, translational relevance and identify opportunities for improvement/expansion or integration into existing workflows.
• Summarize findings and recommendations in clear documentation, visualizations and reports to cross-functional teams.
• Work with data science colleagues to define a model assessment protocol for future model evaluations.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The TSRS Data Sciences group is seeking a highly motivated Graduate Student Intern to join our interdisciplinary Computational Safety team advancing the use of machine learning and AI for predictive safety science.

Basic Qualifications:

Amgen requires that all individuals applying for a grad internship 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
• 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 Qualifications:

• Background in biology or organic chemistry, understanding of biological mechanisms of toxicity, pharmaceutical research, ADMET modeling or QSAR approaches.
• Familiarity with biological or toxicological datasets (e.g., molecular descriptors, in vitro assay data, gene expression,).
• Experience with version control (Git) and workflow automation (e.g., Jupyter notebooks).
• Knowledge of model interpretability and explainable AI techniques.

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 and make a lasting impact with the Amgen team.

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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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