Materials Data Scientist

Multiscale Technologies, Inc
8200 S. Federal Way, Boise, ID 83716

DUTIES

Data Analysis and Modeling: Develop predictive models for linking experimental input parameters with output properties (e.g., structure-property relationships); Analyze multi-modal experimental data (e.g., imaging, spectroscopy, or performance metrics) to extract key features; Build models to optimize experimental conditions or process parameters based on desired material outcomes. Experimental Feedback and Optimization: Collaborate on the design of feedback loops to adjust input parameters dynamically based on measurement results; Develop algorithms for experimental design (e.g., Bayesian optimization, active learning) to minimize the number of experiments required. Toolsets and Libraries: Work with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow) to implement predictive and optimization models; Utilize tools specific to materials informatics, such as materials property databases or feature extraction libraries. Collaboration and Reporting: Partner with engineers, data engineers, and domain experts to align models with physical principles; Present insights and deliver actionable recommendations to improve experimental workflows.

REQUIREMENTS

Education: Master’s or Ph.D. in Data Science, Materials Science, Engineering, Physics, or a related field. Experience: 3 years minimum experience in data-driven optimization or experimental analytics; Demonstrated ability to solve structure-property or process-property relationship problems. Technical Skills: Proficiency in Python or R for data analysis and machine learning; Familiarity with tools for optimization (e.g., Bayesian optimization, reinforcement learning); Knowledge of experimental workflows or systems generating real-world data. Soft Skills: Excellent problem-solving and collaboration skills; Strong communication skills to present complex data-driven insights. Preferred Skills: Experience with multi-modal data analysis (e.g., combining imaging and spectroscopy data); Familiarity with experimental design techniques to reduce experimental workload; Exposure to tools and workflows in materials informatics or related fields.

TO APPLY, interested candidates may submit their resume to jobs@multiscale.ai with Materials Data Scientist (Boise) in the subject line.