3key Consulting, Inc.
Mechanical Engineer Data Scientist, Medical Device & Mathematical Modeling (JP12
3key Consulting, Inc., Thousand Oaks, California, United States, 91362
Overview
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 3-4x / 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. This role focuses on development and lifecycle management of digital modeling assets and analysis of scientific and combination product performance data. The individual will leverage in-silico and data-driven modeling to evaluate opportunities that enable changes in business and operation performance. Top Must Have Skill Sets
Simulation, modeling, and data analysis experience Programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes Model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Mathematical/first principles modeling, numerical techniques, and uncertainty quantification (e.g., Monte Carlo simulations) Day to Day Responsibilities
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 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 software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes 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; knowledge of process controls is a plus Understanding business needs and developing novel yet practical solutions 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 multi-discipline digital teams to advance data analytics tools/features (e.g., 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 rapidly as needs arise Ability to manage multiple competing priorities simultaneously Ability to work in highly collaborative, cross-functional environments Why is the Position Open?
Supplement additional workload on team. Red Flags
Not meeting degree and experience requirements No modeling and simulation experience No engineering background Interview Process
One phone and one virtual panel interview. Application
We invite qualified candidates to send your resume to resumes@3keyconsulting.com. If you decide that you’re not interested in pursuing this position, please visit www.3keyconsulting.com/careers to view other positions. You may also share this opportunity with others who might be interested in applying for this role.
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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 3-4x / 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. This role focuses on development and lifecycle management of digital modeling assets and analysis of scientific and combination product performance data. The individual will leverage in-silico and data-driven modeling to evaluate opportunities that enable changes in business and operation performance. Top Must Have Skill Sets
Simulation, modeling, and data analysis experience Programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes Model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Mathematical/first principles modeling, numerical techniques, and uncertainty quantification (e.g., Monte Carlo simulations) Day to Day Responsibilities
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 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 software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes 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; knowledge of process controls is a plus Understanding business needs and developing novel yet practical solutions 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 multi-discipline digital teams to advance data analytics tools/features (e.g., 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 rapidly as needs arise Ability to manage multiple competing priorities simultaneously Ability to work in highly collaborative, cross-functional environments Why is the Position Open?
Supplement additional workload on team. Red Flags
Not meeting degree and experience requirements No modeling and simulation experience No engineering background Interview Process
One phone and one virtual panel interview. Application
We invite qualified candidates to send your resume to resumes@3keyconsulting.com. If you decide that you’re not interested in pursuing this position, please visit www.3keyconsulting.com/careers to view other positions. You may also share this opportunity with others who might be interested in applying for this role.
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