Mechanical Engineer/Data Scientist, Medical Device & Mathematical Modeling (JP14031)

Company: 3 Key Consulting
Location: Thousand Oaks
Posted on: April 2, 2026

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 an Engineer (Mechanical, Chemical, Biomedical) with Data Science focus for 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 GMP-regulated 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 Master’s degree with at least 2 years of experience, or a Bachelor’s 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 software-focused 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 in-silico and data-driven 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 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. 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, LS-Dyna, 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 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 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, cross-functional environments Basic Qualifications: Bachelor's degree in Engineering plus 5 years of simulation, modeling, and data analysis experience Or Master's 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, LS-Dyna, 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 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. Employee Value Proposition: Join a leading biopharmaceutical company where innovation and science drive real-world impact. In this Data Scientist role, you’ll 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. You'll be part of a collaborative, forward-thinking team in a hybrid environment that values flexibility, professional growth, and cutting-edge technology. With access to world-class resources and the opportunity to contribute to meaningful, life-changing 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 degree-preferred Mechanical, Chemical, or Biomedical No engineering background. Degrees in computer-related fields (CS, CE, EE). Interview Process: One phone and one virtual panel interview. We invite qualified candidates to send your resume to resumes@3keyconsulting.com . If you decide that you’re not interested in pursuing this particular position, please feel free to take a look at the other positions on our website www.3keyconsulting.com/careers. You are also welcome to share this opportunity with anyone you think might be interested in applying for this role. Regards, 3KC Talent Acquisition Team

Keywords: 3 Key Consulting, Cypress , Mechanical Engineer/Data Scientist, Medical Device & Mathematical Modeling (JP14031), Engineering , Thousand Oaks, California