Senior Engineer: Mathematical Modeling and Simulation

Senior Engineer:
Mathematical Modeling and Simulation

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.

Location:

Cambridge, MA.

Amgen's Combination Product Operations Digital and Data Strategies group is a process development team that develops and deploys innovative advanced simulation technologies toward improved process understanding, robustness and monitoring, and prediction and optimization of the manufacturing of combination products. In this vital role you will support the team by incorporating physics and empirical techniques to develop rigorous finite element models (FEM) and numerical models of drug delivery devices (in-silico modeling assets) and improving the way Amgen manages and uses in-silico models to enhance decision making within the organization.

The candidate will apply engineering principles to develop efficient and trustworthy models addressing a wide variety of challenging problems associated with advanced material modelling, device design, characterization, verification, validation, manufacturing and tolerance analysis. The ideal candidate enjoys tackling challenges and excels at developing functional in-silico models of combination products that enable insights for root cause investigation and design robustness supporting lifecycle management activities and complaint reduction.

• Implement explicit and implicit FEM structural models, ensuring that the approach and simplifications used to build these models efficiently represent the physical system.
• Apply engineering principles such as kinematic, structural, and tolerance analysis combined with material characterization and testing to create in-silico models that capture the behavior of the device during use, assembly, and transport.
• Continuously improve in-silico models, managing the model lifecycle and improving methods and work streams to guarantee efficiency and trustworthiness.
• Demonstrate critical and analytical thinking skills to explore new opportunities in in-silico and data-driven computational models, modeling real-world scenarios with the appropriate level of detail to inform decision making in a reduced time frame.
• Simulate complaints and real-world issues within the lifecycle of combination products, applying an analytical approach to create models that accurately represent real world scenarios and help identify root causes of complaints.
• Provide positive leadership and deliver work in a fast‑paced, multi-project, cross-functional environment, delivering predictions and insight on time to solve challenging production and customer problems.
• Own the model, responsible for developing and managing the back‑log of in-silico product projects, communicating the modelling scope, limitations and assumptions to stakeholders with both technical and non‑technical backgrounds, and mentoring other simulation experts in best use of simulation technologies.

• Doctorate degree
• Master’s degree and 2 years of Engineering experience
• Bachelor’s degree and 4 years of Engineering experience
• Associate’s degree and 8 years of Engineering experience
• High school diploma / GED and 10 years of Engineering experience

• Finite element model experience with a commercial platform like SIMULIA, ANSYS, ALTAIR, or COMSOL.
• Experience in…