PhD degree in Analytical Chemistry, Physical Chemistry, Biochemistry, Bioanalytical Chemistry, Chemical Engineering, Cosmetic Science, and/or Material Science
Experience in development and application of analytical and/or bioanalytical methods, supported by a solid understanding of chemical interactions, possible interferences, equilibria, and surface and interfacial phenomena
Experience in data science, data analytics, statistics/biostatistics, and/or machine learning and/or secondary degree in one of these fields
Proficiency in coding with relevant programming languages such as Python or R
Limited business travel with ability to work on site at Mason Innovation Center in Mason, Ohio
Excellent communication skills with ability to work in a matrixed organization
Passion for innovation and problem-solving, along with a proactive attitude and the ability to adapt to new challenges
Responsibilities
Design foundational experiments and optimize innovative measurement tools involved in hard tissue and stain research
Design, develop, and execute learning plans to map-out our understanding that our technologies, products, formulas, and usage conditions have on oral health, incorporating input from others in the organization (clinicians, technologists, Safety and Regulatory experts)
Develop digital models encompassing technical understanding of formulas and mechanism of action for our technologies
Analyze, activate, and visualize data from various sources using tools like SQL for advanced analysis
Design and implement interactive features that facilitate the visualization and analysis of performance data
Develop translational laboratory models, identify ways to improve and automate existing models, and advanced digital tools and empirical computational models that encapsulate our current understanding of chemistry involved in dentin and enamel
Advance understanding of stain formation to identify technologies for stain removal and prevention
Work alongside clinicians, formulators, and technologists to develop answers to challenging consumer problems
Streamline processes and automate methods, measurements, data capture, analysis, reporting, and activation to improve efficiency