Senior Engineer: Mathematical Modeling and Simulation

Senior Engineer:
Mathematical Modeling and Simulation page is loaded## Senior Engineer:
Mathematical Modeling and Simulation remote type:
On Site locations:
US - Massachusetts - Cambridge time type:
Full time posted on:
Posted Todayjob requisition :
R-232295##
** Career Category
** Engineering## ##
** 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 Engineer:
Mathematical Modeling and Simulation
**** What you will do
** Let’s do this. Let’s change the world. Amgen's Combination Product Operations Digital and Data Strategies group is a process development team that develops and deploys innovative advanced simulation technologies towards improved process understanding, robustness and monitoring, and prediction and optimization of the manufacturing of combination  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.

Responsibilities:
* Implementing explicit and implicit FEM structural models. Ensuring that the approach and simplifications used to build these models is efficiently representing the physical system.
* Applying engineering principles like kinematic, structural, and tolerance analysis combined with material characterization and testing to create in-silico models able to capture the behavior of the device during use, assembly and transport.
* Continuous improvement of in-silico models, managing the lifecycle of the model and improving methods and work streams to guarantee efficiency and trustworthiness of the models.
* Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven computational models. Modeling real-world scenarios with the adequate level of detail and help inform the decision making in a reduced time frame.
* Simulate complaints and real-world issues within lifecycle of combination products. Being able to apply an analytical approach to create models that accurately represent the real world scenarios and helps identify the root cause analysis of any complaint.
* Providing positive leadership and delivering work in a fast-paced, multi-project, cross-functional environment. Delivering predictions and insight on time to solve challenging production and customer problems..
* Model ownership, responsible for developing and managing backlog of in-silico product projects. Being able to concisely communicate on the modelling scope, limitations and assumptions to stakeholders with a technical and not technical background. Mentor also other…