Mechanical Engineer/Data Scientist, Medical Device & Mathematical Modeling (JP14031)
Mechanical Engineer/Data Scientist, Medical Device & Mathematical Modeling (JP14031)
Posted on :
16-05-2025
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1 Vacancy
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Monthly Salary
$ 50 - 55
Vacancy
1 Vacancy
Posted on :
16-05-2025
Job Description
Job Title: Mechanical Engineer/Data Scientist Medical Device & Mathematical Modeling (JP14031)
Location:Thousand Oaks CA. 91320 Hybrid
Business Unit:Combination Drug Device Product Predictive Modeling & Enabled Insights
Employment Type: Contract
Duration:1 years (with possible extensions)
Rate: $50 $55/hr on W2 with benefit
Posting Date:5/14/2025.
Notes:Hybrid at Thousand Oaks. Expectation is 3 days onsite per week.
3 Key Consulting is hiring! We are recruiting anEngineer (Mechanical Chemical Biomedical) with Data Science focusfor a consulting engagement with our direct client a leading global biotechnology company.
The ideal candidate is a Data Scientist with a strong engineering background preferably in Mechanical Biomedical or Chemical Engineering with proven experience in simulation modeling and data analysis within a GMPregulated environment. They are proficient in Python MATLAB and Minitab and possess a deep understanding of engineering principles applied to physical systems. The candidate holds either a PhD with no required industry experience a Masters degree with at least 2 years of experience or a Bachelors degree with a minimum of 4 years of experience. They are highly analytical collaborative and adaptable with the ability to translate experimental data into actionable insights. Candidates with degrees in Computer Science Electrical Engineering or Computer Engineering or those with purely softwarefocused backgrounds are not a fit for this role.
Job Description:
The Digital Data Scientist will support the Combination Product Operations organization by improving the way the company 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 the 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.
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.
Skills:
Preferred Traits:
Bachelors degree in Engineering plus 5 years of simulation modeling and data analysis experience Or
Masters degree in Science or Engineering plus 2 years of simulation modeling and data analysis experience Or
Ph.D. in Science or Engineering (simulation modeling and data analysis)
Top Must Have Skill Sets:
Day to Day Responsibilities:
Employee Value Proposition:
Join a leading biopharmaceutical company where innovation and science drive realworld impact. In this Data Scientist role youll work at the intersection of engineering and data analytics applying your technical expertise to solve complex problems that directly influence drug development and patient outcomes. Youll be part of a collaborative forwardthinking team in a hybrid environment that values flexibility professional growth and cuttingedge technology. With access to worldclass resources and the opportunity to contribute to meaningful lifechanging work this position offers not just a job but a chance to advance your career while making a difference in global healthcare.
Red Flags:
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.
Location:Thousand Oaks CA. 91320 Hybrid
Business Unit:Combination Drug Device Product Predictive Modeling & Enabled Insights
Employment Type: Contract
Duration:1 years (with possible extensions)
Rate: $50 $55/hr on W2 with benefit
Posting Date:5/14/2025.
Notes:Hybrid at Thousand Oaks. Expectation is 3 days onsite per week.
3 Key Consulting is hiring! We are recruiting anEngineer (Mechanical Chemical Biomedical) with Data Science focusfor a consulting engagement with our direct client a leading global biotechnology company.
The ideal candidate is a Data Scientist with a strong engineering background preferably in Mechanical Biomedical or Chemical Engineering with proven experience in simulation modeling and data analysis within a GMPregulated environment. They are proficient in Python MATLAB and Minitab and possess a deep understanding of engineering principles applied to physical systems. The candidate holds either a PhD with no required industry experience a Masters degree with at least 2 years of experience or a Bachelors degree with a minimum of 4 years of experience. They are highly analytical collaborative and adaptable with the ability to translate experimental data into actionable insights. Candidates with degrees in Computer Science Electrical Engineering or Computer Engineering or those with purely softwarefocused backgrounds are not a fit for this role.
Job Description:
The Digital Data Scientist will support the Combination Product Operations organization by improving the way the company 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 the 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.
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.
Skills:
- 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
- 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 Traits:
- 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
Bachelors degree in Engineering plus 5 years of simulation modeling and data analysis experience Or
Masters degree in Science or Engineering plus 2 years of simulation modeling and data analysis experience Or
Ph.D. in Science or Engineering (simulation modeling and data analysis)
Top Must Have Skill Sets:
- 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:
- 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.
Employee Value Proposition:
Join a leading biopharmaceutical company where innovation and science drive realworld impact. In this Data Scientist role youll work at the intersection of engineering and data analytics applying your technical expertise to solve complex problems that directly influence drug development and patient outcomes. Youll be part of a collaborative forwardthinking team in a hybrid environment that values flexibility professional growth and cuttingedge technology. With access to worldclass resources and the opportunity to contribute to meaningful lifechanging work this position offers not just a job but a chance to advance your career while making a difference in global healthcare.
Red Flags:
- No Engineering university degreepreferred Mechanical Chemical or Biomedical
- No engineering background.
- Degrees in computerrelated fields (CS CE EE).
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.
Regards
3KC Talent Acquisition Team
Employment Type
Hourly
Key Skills
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