Senior Engineer - Modeling & Simulation

Amgen • Cambridge, MA

1d • $115,495 - $156,257

About The Position

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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. What you will do. Let’s do this. Let’s change the world. In this vital role you will collaborate closely with Design Engineering, Quality, Systems Engineering, Manufacturing, Process Development, Data Science, Regulatory, and Digital Technology teams to deliver enterprise-level modeling capabilities for prefilled syringes, autoinjectors, and other combination products.

Requirements

• Doctorate degree in Mechanical Engineering, Biomedical Engineering, or Civil Engineering (related to computational modeling and simulation).
• OR Master’s degree in Mechanical engineering, Biomedical Engineering, or Civil Engineering and 2 years of relevant experience in computational modeling and simulation.
• OR Bachelor’s degree n Mechanical Engineering, Biomedical Engineering, or Civil Engineering and 4 years of relevant experience in computational modeling and simulation.
• OR Associate’s degree and 8 years of Engineering Experience (Mechanical Engineering, Biomedical Engineering, or Civil Engineering)
• OR High school diploma / GED and 10 years of Engineering Experience (Mechanical Engineering, Biomedical Engineering, or Civil Engineering)

Nice To Haves

• Demonstrated expertise in physics-based modeling of mechanical systems.
• Programming experience in Python, MATLAB, or C++.
• Finite Element Analysis (FEA) experience with structural, contact, nonlinear, fluidic, thermal, and multi-physics problems.
• Experience with SIMULIA / 3DEXPERIENCE (preferred), ABAQUS, ANSYS, LS-DYNA, or COMSOL.
• Experience with surrogate modeling, reduced-order modeling, AI/ML-enabled engineering workflows, or data-driven prediction methods.
• Experience with Git or GitLab, version control, CI/CD workflows, and model automation.
• Experience with uncertainty quantification, sensitivity analysis, Monte Carlo simulation, and Design for Six Sigma (DFSS) methods.
• Knowledge of combination products, medical device development, design controls, V&V, and FDA-regulated environments.
• Strong technical documentation, presentation, and cross-functional communication skills.
• Intellectual curiosity and ability to learn new frameworks, algorithms, and technologies rapidly.
• Ability to manage multiple priorities and work effectively in a highly collaborative environment.
• Interest in Agentic AI to deploy modeling assets and encourage exploration of AI-enabled Insights
• Strong analytical and critical thinking skills.

Responsibilities

• Develop, validate, qualify, and deploy advanced computational models (In Silico modeling assets) for combination products.
• Apply first-principles/analytical modeling, numerical methods, finite element analysis (FEA), surrogate modeling, and AI/ML techniques solve complex mechanical, structural, fluidic, thermal, and multi-physics problems.
• Develop digital models that improve understanding of device performance, design robustness, failure mechanisms, and system behavior throughout the product lifecycle.
• Build computational models supporting design verification and validation, design space development, manufacturing robustness, root cause investigations, complaint investigations, lifecycle management, new product development, and feasibility assessments.
• Identify modeling assumptions, requirements, specifications, and acceptance criteria appropriate for In Silico evaluation of combination products.
• Analyze simulation results and communicate engineering insights to support technical decision making, specification development, and risk reduction.
• Explore novel computational approaches, automation strategies, AI-enabled engineering methods, and data-driven modeling techniques.
• Develop proof-of-concept modeling solutions for emerging engineering challenges and complex product behaviors.
• Collaborate with multidisciplinary teams across Product Development, Manufacturing, Quality, Regulatory, Data Science, and Systems Engineering.
• Contribute to project planning, backlog prioritization, Agile/Scrum activities, and continuous improvement initiatives.
• Communicate complex technical concepts through clear reports, presentations, and engineering documentation.
• Promote modeling and simulation best practices across the organization.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree