Senior Data Scientist - Biopharmaceutical Processes

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.

Senior Data Scientist

What you will do

Let’s do this. Let’s change the world. In this vital role you will be responsible for developing, maintaining and deploying machine learning models for biopharmaceutical processes, including and not limited to cell line development, cell culture, biologics formulation development, where having a fundamental understanding of bioprocessing would be preferred. You will be responsible for the selection of the underlying technologies and infrastructure. Finally, you will enable dataflow from our centralized data lake to computational models. The ideal candidate will have a strong background in a life science as well as expertise in data science to tackle challenging cross‐functional projects including machine learning, machine learning and first principles hybrid model development, computer vision, data analysis and visualization.

The candidate will be part of cross functional project teams with frequent interactions with Amgen’s SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for the benefit of and use by engineers and scientists.

• Design, develop, and deploy machine learning models to optimize biopharmaceutical processes.
• Apply hybrid modeling approaches that combine machine learning, first-principles modeling, and computer vision to improve process understanding and performance.
• Build and maintain robust data pipelines from centralized data lakes to computational models, ensuring high data quality and accessibility.
• Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
• Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Data Sciences professional we seek is an individual with these qualifications.

Basic Qualifications:

• High school diploma / GED and 10 years of Data Sciences experience; OR
• Associate’s degree and 8 years of Data Sciences experience; Or
• Bachelor’s degree and 4 years of Data Sciences experience; Or
• Master’s degree and 2 years of Data Sciences experience; Or
• Doctorate degree

Preferred Qualifications:

• Track record of leading data science and machine learning projects
• 4+ yrs of coding experience in Python
• Science background with strong ML skills
• Experience in AI and ML algorithms
• Experience working with experimental data sets, data mining, and machine learning tools such as PyTorch and TensorFlow
• Understanding of biopharmaceuticals process and related unit operations.
• Experience using Git for version control
• Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)
• Experience in Databricks, Spotfire
• Experience in cloud computing and storage systems such as AWS.
• Independent, self‐motivated, organized, able to multi‐task in time‐sensitive environments, and skilled in communication, facilitation, and collaboration
• Excellent communication skills (written and verbal)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

What you can expect from 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 s