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

OverviewJob Title: Mechanical Engineer/Data Scientist, Medical Device & Mathematical Modeling (JP14031)Location: Thousand Oaks, CA. 91320 - HybridBusiness Unit: Combination Drug Device Product Predictive Modeling & Enabled InsightsEmployment Type: ContractDuration: 1+ years (with possible extensions)Rate: $50 - $55/hr on W2 with benefitPosting Date: 5/14/2025Notes: Hybrid at Thousand Oaks. Expectation is 3 days onsite per week.3 Key Consulting is hiring an Engineer (Mechanical, Chemical, Biomedical) with Data Science focus for a consulting engagement with our direct client, a leading global biotechnology company.The ideal candidateThe 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 DescriptionThe 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 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 productsSkillsExperience 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 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 TraitsPassion 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 environmentsBasic QualificationsBachelor's degree in Engineering plus 5 years of simulation, modeling, and data analysis experience ORMaster's degree in Science or Engineering plus 2 years of simulation, modeling, and data analysis experience ORPh.D. in Science or Engineering (simulation, modeling, and data analysis)Top Must Have Skill SetsExperience 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 ResponsibilitiesApplying 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 productsEmployee Value PropositionJoin 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 (for screening)No Engineering university degree-preferred Mechanical, Chemical, or BiomedicalNo engineering background.Degrees in computer-related fields (CS, CE, EE).Interview ProcessOne 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.J-18808-Ljbffr