3 Key Consulting, Inc.
Data Scientist, Medical Device & Mathematical Modeling (JP12081)
3 Key Consulting, Inc., Thousand Oaks, California, United States, 91362
Job Title:
Data Scientist, Medical Device & Mathematical Modeling (JP12081)
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:
1/5/2024.
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.
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 in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.
Top Must Have Skill SetsSimulation, modeling, and data analysis experienceExperience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposesExperience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOLExperience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulationsDay To Day ResponsibilitiesThe 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 productsDeveloping, enhancing, automating, and managing analytics and data-driven modelsPerforming ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvementsDemonstrating modeling and visualization approaches as part of proof-of-concept projectsTransforming ambiguous business and technical questions into measurable and impactful projectsDemonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.Basic QualificationsDoctorate 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 experienceExperience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOLExperience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposesExperience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulationsFamiliar with utilizing GitLab for version control, code collaboration, and project managementData analysis expertise and statistical or mechanistic modeling experienceExperience in deriving technical recommendations and specifications from the analysis of measured dataStrong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controlsUnderstanding business needs and developing novel yet practical solutions to meet those needsExperience with combination products and device regulatory requirements and medical device development and engineeringPreferred QualificationsPassion for proactively identifying opportunities through creative modeling and data analysisTransform ambiguous business and technical questions into measurable and impactful projectsPartner 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 environmentIntellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs ariseAbility to manage multiple competing priorities simultaneouslyAbility to work in highly collaborative, cross-functional environmentsWhy is the Position Open?Supplement additional workload on team.Red FlagsNot meeting degree and experience requirements (not meeting basic qualification)No modeling and simulation experienceNo engineering backgroundInterview ProcessOne phone and one virtual panel interview.
We invite qualified candidates to send your resume to resumes@3keyconsulting.com.#J-18808-Ljbffr
Data Scientist, Medical Device & Mathematical Modeling (JP12081)
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:
1/5/2024.
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.
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 in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.
Top Must Have Skill SetsSimulation, modeling, and data analysis experienceExperience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposesExperience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOLExperience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulationsDay To Day ResponsibilitiesThe 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 productsDeveloping, enhancing, automating, and managing analytics and data-driven modelsPerforming ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvementsDemonstrating modeling and visualization approaches as part of proof-of-concept projectsTransforming ambiguous business and technical questions into measurable and impactful projectsDemonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.Basic QualificationsDoctorate 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 experienceExperience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOLExperience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposesExperience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulationsFamiliar with utilizing GitLab for version control, code collaboration, and project managementData analysis expertise and statistical or mechanistic modeling experienceExperience in deriving technical recommendations and specifications from the analysis of measured dataStrong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controlsUnderstanding business needs and developing novel yet practical solutions to meet those needsExperience with combination products and device regulatory requirements and medical device development and engineeringPreferred QualificationsPassion for proactively identifying opportunities through creative modeling and data analysisTransform ambiguous business and technical questions into measurable and impactful projectsPartner 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 environmentIntellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs ariseAbility to manage multiple competing priorities simultaneouslyAbility to work in highly collaborative, cross-functional environmentsWhy is the Position Open?Supplement additional workload on team.Red FlagsNot meeting degree and experience requirements (not meeting basic qualification)No modeling and simulation experienceNo engineering backgroundInterview ProcessOne phone and one virtual panel interview.
We invite qualified candidates to send your resume to resumes@3keyconsulting.com.#J-18808-Ljbffr