February 8, 2024
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Thousand Oaks, CA, United States
February 8, 2024
Apply NowJob description
Onsite 3-4x / week *Must be OK to be onsite weekly and must be local to USTO*
Copy of AMAGJP00012081 please do not resub job seekers previously shortlisted/ rejected
SUPPLIER CALL THURS, 2/8 AT 1:00 PM EST/ 10:00 AM PST
The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way *** manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.
The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.
This may include, but is not limited to, the following:
• Applying engineering principles to develop in-silico models for combination products
• Developing, enhancing, automating, and managing analytics and data-driven models
• Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
• Demonstrating modeling and visualization approaches as part of proof-of-concept projects
• Transforming ambiguous business and technical questions into measurable and impactful projects
• Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.
Skills:
Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations
Familiar with utilizing GitLab for version control, code collaboration, and project management
Data analysis expertise and statistical or mechanistic modeling experience
Experience in deriving technical recommendations and specifications from the analysis of measured data
Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls
Understanding business needs and developing Client yet practical solutions to meet those needs
Experience with combination products and device regulatory requirements and medical device development and engineering
Preferred Traits:
• Passion for proactively identifying opportunities through creative modeling and data analysis
• Transform ambiguous business and technical questions into measurable and impactful projects
• Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning)
• Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment
• Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
• Ability to manage multiple competing priorities simultaneously
• Ability to work in highly collaborative, cross-functional environments
Copy of AMAGJP00012081 please do not resub job seekers previously shortlisted/ rejected
SUPPLIER CALL THURS, 2/8 AT 1:00 PM EST/ 10:00 AM PST
The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way *** manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.
The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.
This may include, but is not limited to, the following:
• Applying engineering principles to develop in-silico models for combination products
• Developing, enhancing, automating, and managing analytics and data-driven models
• Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
• Demonstrating modeling and visualization approaches as part of proof-of-concept projects
• Transforming ambiguous business and technical questions into measurable and impactful projects
• Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.
Skills:
Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations
Familiar with utilizing GitLab for version control, code collaboration, and project management
Data analysis expertise and statistical or mechanistic modeling experience
Experience in deriving technical recommendations and specifications from the analysis of measured data
Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls
Understanding business needs and developing Client yet practical solutions to meet those needs
Experience with combination products and device regulatory requirements and medical device development and engineering
Preferred Traits:
• Passion for proactively identifying opportunities through creative modeling and data analysis
• Transform ambiguous business and technical questions into measurable and impactful projects
• Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning)
• Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment
• Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
• Ability to manage multiple competing priorities simultaneously
• Ability to work in highly collaborative, cross-functional environments
