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1001 Amgen Inc.
Senior Engineer - Modeling & Simulation
Career Insights for Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$138,705 / year median in California
+8% projected growth
Job Description
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. 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. 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. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.