Data Scientist

Client: large biotech Location: Hybrid- Thousand Oaks, CA or Cambridge, MA 3x per week Duration: 1 year + extensions Rate: $40-$47/hr The Digital Data Scientist will support the Combination Product Operations organization by improving the way Client assesses the performance of its combination products and helping 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 and simulation assets, technologies, and processes, and analyzing combination product performance. This individual will leverage in-silico, first-principles, and data-driven modeling techniques to evaluate potential opportunities that enable positive changes to Client’s drug delivery devices and systems such as Pre-Filled Syringes and Auto-Injectors. The ideal candidate possesses a strong engineering background, preferably in Mechanical or Biomedical Engineering, with proven experience in simulation (FEM), physics-based modeling (using fundamentals of mechanics), and data analysis for engineering applications within a GMP-regulated environment. This role requires a strong foundation in Mechanical Systems. Candidates whose background is primarily focused on physics-based modeling of mechanical systems are more likely to be successful in this role. The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using modeling and simulation. Skills • Expertise in FEM using commercial software such as ABAQUS, LS-Dyna, ANSYS, COMSOL • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems • Experience with mathematical/first-principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations • Experience with programming in Python, MATLAB, or C++ • Experience using Git-based version control and CI/CD practices to manage, validate, and document modeling assets • Knowledge of statistical analyses for engineering problems using JMP, and/or Minitab for 6-sigma processes • Demonstrating critical and analytical thinking skills to explore new modeling opportunities and deriving technical recommendations and system/component level specifications/controls from simulation results for combination products. • Strong communication, presentation, and technical documentation skills • Ability to work in highly collaborative, cross-functional environments Basic Qualifications Ph.D. in Mechanical or Biomedical Engineering (simulation, modeling, and data analysis) Or Master's degree in Mechanical or Biomedical Engineering plus 2 years of simulation, modeling, and data analysis experience (Civil Engineering is also acceptable) Or Bachelor's degree in Mechanical or Biomedical Engineering plus 5 years of simulation, modeling, and data analysis experience