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Job Description

HOW MIGHT YOU DEFY IMAGINATION?

Do more with the knowledge you’re working hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Through this program, you will acquire the valuable hands-on skills and foundational experience to become the professional you are meant to be in your chosen field.

Grad Intern– R&D (Therapeutic Discovery – Computational and Data Sciences)

Live

This could be your everyday
 

Let’s do this. Let’s change the world. During this program, you will join the Computational and Data Sciences team in Therapeutic Discovery, and work on algorithm development at the interface of machine learning and chemistry. The Grad Intern will work in a collaborative team environment with computational scientists, medicinal chemists, and engineers. In this role you will:

• Develop optimization and reinforcement learning methodologies for generative chemistry applications in small molecule drug discovery

• Apply data exploration and curation techniques to enhance existing chemical and transformation libraries for data driven models

• Develop and benchmark success criteria metrics compared to literature standards

Win

Here’s what it takes to Win

We are all different, yet we all use our unique contributions to serve patients. The passionate individual we seek is highly motivated 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 with a 3.0 minimum GPA or equivalent

• 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 PhD 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 PhD program before 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

Preferred Qualifications

• Pursuing a PhD in Computer Science, Computational Chemistry, Physics, or similar degree program

• Experience in cheminformatics, machine learning, and reinforcement learning

• Proficiency in Python, and RDKit, scikit-learn, and PyTorch libraries

• Familiarity and background with small molecule featurization techniques

• Strong communication and interpersonal skills

Thrive

Some of the vast rewards of working here 

As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.  

• 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 culture that values 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 that defies imagination 

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

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