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Job Description

HOW MIGHT YOU DEFY IMAGINATION?

You’ve earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you’ve worked 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. Become the professional you are meant to be in this meaningful role.

Machine Learning Scientist - Molecular Design

Live

What you will do

Let’s do this. Let’s change the world. In this vital role within Amgen Research, you will apply machine learning expertise to develop predictive and generative models for molecular designs, in collaboration computational chemists and experimental scientists, across broad small molecule drug discovery research. The key responsibilities include,

• Develop and optimize machine learning models, e.g., GNN, transformer, etc., for ligand-protein interaction and molecular property predictions
• Develop and optimize deep learning based generative models for molecular designs
• Apply machine learning models to active drug discovery projects, in collaboration with physical modeling scientists and experimental scientists

Win

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 data scientist with these qualifications.

Basic qualifications:

Doctorate degree

OR

Master’s degree and 4 years of machine learning experience

OR

Bachelor’s degree and 6 years of machine learning experience

Preferred qualifications:

• PhD in Computational Sciences, Applied Math, Statistics, or related quantitative fields
• Strong track record of research accomplishment with a minimum of three scientific publications or conference presentations in the field of machine learning
• Extensive expertise in machine learning techniques, especially deep learning techniques (e.g., GNN, transformer, RL, generative models)
• Experience with UNIX, Python, TensorFlow, PyTorch, Keras
• Experience in applying machine learning to study molecular systems preferred but not required
• Strong communication and technical leadership skills and enthusiasm for working in an interdisciplinary team environment

Thrive

Some of the vast rewards of working here

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

• Full support and career-development resources to expand your skills, enhance your expertise, and maximize your potential along your career journey
• A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• Generous Total Rewards Plan—comprising health, finance and wealth, work/life balance, and career benefits—with compensation and benefits rated above 4 stars (out of 5) on Glassdoor

Apply now

for a career that defies imagination

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

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