Senior Engineer: In-Silico Modeling & Simulation

Biopharma Careers; Cambridge (MA); On-site; USD 115,000 - 156,000; Full time

Job summary

Amgen in Cambridge, MA is seeking a Senior Engineer for Mathematical Modeling and Simulation to join the Combination Product Operations Digital and Data Strategies group. You will develop and deploy in-silico models of drug delivery devices using FEM and numerical methods to support robust design and decision making.

The role emphasizes collaboration across teams, model ownership, and mentoring others, with a focus on risk reduction, lifecycle management, and documenting the technical basis of

Qualifications

• PhD or equivalent required; multiple routes listed.
• 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.

Responsibilities

• Implement explicit and implicit FEM structural models with efficient representations.
• Use kinematic, structural, and tolerance analysis to create in-silico models.
• Improve models, manage model life cycle and methods for trustworthiness.
• Model real-world scenarios to inform design decisions in short timeframes.
• Simulate complaints and issues to identify root causes in product lifecycle.
• Provide leadership and collaborate in fast-paced, multi-project environments.
• Own model backlog and communicate scope and assumptions to stakeholders.
• Lead and document the technical basis of models for broader teams.

Skills

Communication skills

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Associate’s degree

High school diploma / GED

Tools

SIMULIA

ANSYS

ALTAIR

COMSOL

Python

MATLAB

ABAQUS scripting

Job description

Amgen in Cambridge, MA is seeking a Senior Engineer for Mathematical Modeling and Simulation to join the Combination Product Operations Digital and Data Strategies group. You will develop and deploy in-silico models of drug delivery devices using FEM and numerical methods to support robust design and decision making.

The role emphasizes collaboration across teams, model ownership, and mentoring others, with a focus on risk reduction, lifecycle management, and documenting the technical basis of