Senior Digital R&D Scientist
About The Position
The Senior Digital R&D Scientist combines scientific research with data-driven innovation to translate emerging technologies into practical R&D solutions. The role brings together coating and formulation science with computational modeling, advanced analytics, and digital innovation to accelerate product development and improve scientific decision-making. As part of the Digitalization & Formula Management team, the scientist transforms formulation data into actionable insights and advances the use of machine learning, laboratory automation, and modern digital approaches. The role partners with formulation scientists and cross-functional teams to design and optimize experiments, develop predictive models, analyze datasets, and create digital tools that improve the speed and effectiveness of product development. It connects scientific data across R&D systems, translates technical challenges into digital solutions, and helps teams adopt new technologies. The position leads complex technical initiatives and delivers improvements in R&D productivity, formulation performance, and decision-making.
Requirements
- High school diploma required.
- At least 5 years of experience in scientific R&D, coatings formulation, formulated products, computational science, or related R&D environments.
- Strong understanding of formulation science, coatings raw materials, formulation principles, performance testing, and structure-property relationships.
- Experience designing and optimizing experiments, analyzing complex technical datasets, and solving scientific and formulation challenges.
- Ability to lead technical projects, influence cross-functional teams, mentor scientists, and drive adoption of new tools and methodologies.
- Experience applying Design of Experiments (DOE), statistical analysis, predictive modeling, sequential learning, machine learning, Bayesian optimization, or related computational approaches to scientific problems.
- Proficiency in Python, R, or comparable programming and data analysis tools, with ability to develop or adapt analytical workflows and models.
- Strong communication, collaboration, teaching, and problem-solving skills, including the ability to translate complex findings into actionable recommendations.
Nice To Haves
- Bachelor's degree in Chemistry, Chemical Engineering, Polymer Science, Materials Science, or a related scientific field.
- Coatings experience.
- Familiarity with Uncountable or similar systems.
- Experience developing, evaluating, or supporting scientific data platforms, digital R&D workflows, laboratory automation, data integration, or AI-enabled research solutions.
Responsibilities
- Partner with formulation scientists and cross-functional teams to design and optimize experiments.
- Develop predictive models and analyze datasets to support product development.
- Create digital tools that improve the speed and effectiveness of product development.
- Connect scientific data across R&D systems and translate technical challenges into digital solutions.
- Help teams adopt new technologies and lead complex technical initiatives.
- Develop and apply computational models and AI-enabled tools using formulation, raw material, and performance data to identify relationships, predict outcomes, recommend experiments, and accelerate formulation optimization.
- Deliver measurable improvements in R&D productivity, formulation performance, and scientific decision-making.
Benefits
- Hybrid schedule and 9/80 work option, with every other Friday off.
- Quarterly, holiday, and independent bonuses are available.
- 15 paid vacation days in the first year and 5 days of paid sick time.
- 401(k) retirement plan with 4% match and annual retirement profit-sharing payments.
- Competitive health plans for individuals and families.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
High school or GED
