Engineer, Modeling and Simulation Drug Delivery Devices

Engineer, Modeling and Simulation Drug Delivery Devices

Location: Thousand Oaks, CA

Business Unit: Advanced Modeling and Simulation

Duration: Initials 10 months with likely extension or conversion to perm.

Employment Type: Contract

Notes: Only qualified candidates need apply.

Job Description

Our client's Digital Integration & Predictive Technologies (DIPT) team is a global process development function that develops and deploys innovative advanced computational technologies in: data capture, integration and management first principles and machine learning modeling towards improved process understanding and robustness monitoring, prediction and optimization of manufacturing.

In this role you will develop, apply and deploy thorough mathematical models of drug delivery device technologies. The candidate will apply structural, fluid, biomechanical, and multi-physics theory to develop novel first-principles and mechanistic computational models addressing a wide variety of ambitious problems associated with device design control, characterization, verification and validation.

The Engineer / Data Scientist will collaborate heavily with internal stakeholders, as well as document and communicate the underlying technical basis of the models for the benefit of and use by engineers and scientists responsible for delivering processes and devices to operations.

The candidate will be part of cross functional project teams with frequent interactions with client's SMEs and stakeholders.

Top Must Have Skill Sets

• Experienced with Finite Element Analysis
• Experienced with CAD tools
• Ability to code in Python
• Experience with machine design

Day to Day Responsibilities

Responsibilities will include identifying key product/unit/systems properties/phenomena, formulating the fundamental equations describing these, examining modeling simplification and assumptions, implementing models in commercial and proprietary software and deploying these models to internal users via an enterprise modeling infrastructure.

Basic Qualifications

• Experience in mathematical and computational (in-silico) modeling is required.
• Experience in device, product, or process development is highly desired.

Red Flags

• Leaving assignments before projects are complete
• Unexplainable time gaps in resumes

Interview Process

Virtual (individually or group interview). References will be requested at future time.