Engineer, Biotech Data Analysis - Local/hybrid (JP11062)
Tasks
- Analyze business data
- Analyze scientific data
- Calibrate models using measured data
- Create data visualizations
- Demonstrate modeling and visualization for proof of concept
- Derive technical parameters and specifications from measured data
- Develop enhance automate analytics models
- Digitize experimental workflows
- Manage analytics models
- Perform model simulation and analysis
- Process clean label large datasets
- Provide documentation to internal customers
- Provide technical support to internal customers
- Quantify model uncertainty using Monte Carlo
Perks/Benefits
Skills/Tech-stack
Communication | Data Analysis | Data Processing | Data Visualization | Data cleaning | Data labeling | Device development | Digitalization | Fluidic modeling | Heat transfer | In-silico modeling | MATLAB | Mathematical Modeling | Mechanistic modeling | Medical Device | Medical Device Development | Model calibration | Model simulation | Monte Carlo | Monte Carlo Simulation | Numerical Methods | Numerical techniques | Process control | Proof of Concept | Python | R | Regulatory requirements | Spotfire | Statistical modeling | Structural modeling | Uncertainty Quantification
Roles
Regions
Countries
States
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