Amgen is looking to solve the problem of optimizing biopharmaceutical processes, including cell line development, cell culture, biologics formulation development, fill/finish processes, by leveraging data science and machine learning models.
Requirements
- 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
- Ph.D. in Chemical Engineering or related field.
- 4+ yrs of coding experience in Python
- Engineering or science background with strong first principles modeling and ML skills
- Experience in AI and ML algorithms
- Understanding of biopharmaceuticals process and related unit operations.
- Experience using Git for version control
Responsibilities
- Design, develop, and deploy first principles and 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.
Other
- High school diploma / GED
- Associate’s degree
- Bachelor’s degree
- Master’s degree
- Doctorate degree
