Modeling Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

WHAT YOU WILL DO

Let’s do this. Let’s change the world.

• Develop in-silico and data driven models to support combination products and associated drug product packaging throughout their lifecycle.
• Apply core engineering principles: structural, fluid, biomechanical, and multi-physics theory to develop novel first-principles and mechanistic computational models addressing combination products.
• Formulate constitutive and governing equations describing key system characteristics / phenomena and design questions.
• Build supervised and unsupervised algorithms to provide important insights across Amgen’s Combination Product operations.
• Develop and debug in-silico models in commercial and proprietary software and deploy models to internal users via the enterprise modeling infrastructure
• Ensure that qualification parameters are met for in-silico modeling performance requirements per the intended use.
• Partner with multi-discipline data analytics teams to advance data analytics tools/features to answer important business questions against their well-defined requirements.
• Transform ambiguous business and technical inquiries into measurable and impactful projects.
• Collaborate multi-functionally with the test method and device development teams in the data collection and analytics required for model qualification.
• Collaborate multi-functionally with teams of Manufacturing, development, Quality, and commercial leads.
• Deliver training to individuals in the operation and maintenance of modeling assets.
• Provide support for investigations as well as development of new processes required to improve combination product manufacturing operations (for quality, reliability, new product introduction, cost saving).
• Perform ad hoc analysis and provide input to the leadership teams regarding trend and failure investigation and process improvements.
• Serve as technical lead on projects and mentor engineers and data scientists.
• Supply ideas, establish standard processes, and follow trends in industry and academia.
• Develop and maintain coordinated timelines collecting appropriate multi-functional details and work which are aligned with the functional and project deliverables
• Proactively identify issues and/or risks and develop mitigation options to resolve or call out efficiently.

The position may require approximately 10% travel to international locations assisting our development partners during implementation of modeling assets into their processes.

WIN

WHAT WE EXPECT OF YOU

We are all different, yet we all use our outstanding contributions to serve patients.

BASIC QUALIFICATIONS:

• Doctorate degree OR
• Master's Degree and 3 years of Engineering experience OR
• Bachelor's Degree and 5 years of Engineering experience OR
• Associate's degree and 10 years of Engineering experience OR
• High school diploma/GED and 12 years of Engineering experience.

PREFERRED QUALIFICATIONS:

• M.S. or Ph.D. in Mechanical, Aerospace, Mechatronics, Chemical or Biomedical engineering.
• Experience with FEA and CFD modeling techniques for structural and fluid dynamics using commercial simulation software such as SolidWorks, ANSYS, LS-DYNA, COMSOL, and ABAQUS.
• Experience in modeling of mechanical, biochemical, and biomechanical systems.
• Fluency in data analytic techniques vital for data analyses.
• Experience working with healthcare data.
• Experience with combination products and device regulatory requirements and medical device development and engineering.
• Demonstrable ability to work on multiple projects and collaborate with many multi-functional teams simultaneously.
• Experience with mathematical / first principles modeling and numerical techniques for model calibration and uncertainty quantification such as Monte Carlo simulations.
• Proven ability to translate sophisticated data sets and technical challenges into simple business recommendations.
• Demonstrated ability to bring structure to sophisticated problems, pragmatic scoping & problem-solving approach.
• Understanding of the six-sigma process, utilizing statistical software packages such as Minitab and/or JMP to formulate and tackle statistical problems.
• Excellent written and verbal communication skills together with proven ability to thrive in multi-functional teams.
• Excellent technical writing, data visualization and presentation skills.
• Demonstrated ability to thrive in a fast-paced, collaborative, agile team.
• Experience with one or more of general-purpose programming languages
• Evidence of working independently, scientific independence and accomplishments