drjobs Mechanical Engineer Data Scientist Medical Device Mathematical Modeling JP12250

Mechanical Engineer Data Scientist Medical Device Mathematical Modeling JP12250

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1 Vacancy
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Job Location drjobs

Thousand Oaks, CA - USA

Monthly Salary drjobs

$ 52 - 56

Vacancy

1 Vacancy

Job Description

Job Title: Mechanical Engineer Data Scientist Medical Device & Mathematical Modeling (JP12250
Location: Thousand Oaks CA. 91320
Business Unit: Combination Products Operations Digital & Data Strategy
Employment Type: Contract
Duration: 1 years (with possible extensions)
Rate: $52 $56/hr
Posting Date:2/7/2024.
Notes: Only qualified candidates need apply. Onsite 34x / week *Must be OK to be onsite weekly and must be local to Thousand Oaks CA.


3 Key Consulting is hiring! We are recruiting a Data Engineer for a consulting engagement with our direct client a leading global biotechnology company.

Job Description:
The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way our client 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 insilico and datadriven modeling to evaluate potential opportunities that enable changes in business and operation performance.

Top Must Have Skill Sets:
  • Simulation modeling and data analysis experience
  • Experience with programming in Python MATLAB JMP and/or Minitab for engineering purposes
  • Experience with model simulation and analysis (MS&A) techniques for structural fluidic and heat transfer problems using commercial software such as ANSYS LSDyna ABAQUS COMSOL
  • Experience with mathematical/first principles modeling numerical techniques and uncertainty quantification such as Monte Carlo simulations

Day to Day Responsibilities:
The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using datadriven and physicsbased modeling.
This may include but is not limited to the following:
  • Applying engineering principles to develop insilico models for combination products
  • Developing enhancing automating and managing analytics and datadriven models
  • Performing adhoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
  • Demonstrating modeling and visualization approaches as part of proofofconcept projects
  • Transforming ambiguous business and technical questions into measurable and impactful projects
  • Demonstrating critical and analytical thinking skills to explore new opportunities in insilico and datadriven models for combination products.

Basic Qualifications:
  • Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience OR High school diploma / GED and 12 years of experience
  • Experience with model simulation and analysis (MS&A) techniques for structural fluidic and heat transfer problems using commercial software such as ANSYS LSDyna 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 novel yet practical solutions to meet those needs
  • Experience with combination products and device regulatory requirements and medical device development and engineering

Preferred Qualifications:
  • Passion for proactively identifying opportunities through creative modeling and data analysis
  • Transform ambiguous business and technical questions into measurable and impactful projects
  • Partner with multidiscipline 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 fastpaced multiproject teamoriented 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 crossfunctional environments

Why is the Position Open
Supplement additional workload on team.

Red Flags:
  • Not meeting degree and experience requirements (not meeting basic qualification)
  • No modeling and simulation experience
  • No engineering background

Interview Process:
One phone and one virtual panel interview.

We invite qualified candidates to sendyour resume to. Ifyou decide that youre not interested in pursuing this particular position please feel free to take a look at the other positions on our You are also welcome to sharethis opportunity withanyone you think might be interested in applying for this role.

Employment Type

Hourly

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