Research Scientist

• develop innovative physics-based solutions/corrections and support medical imaging platform needs
• apply system-level engineering approach to develop CT/X-ray imaging features
• investigate and resolve image quality issues during product introduction
• deliver safe, effective, and well-documented solutions based on rigorous data analysis
• develop and enhance R&D tools for physics-based simulation and image formation
• maintain deep expertise in CT physics and advanced processing algorithms
• drive innovation by owning the CT imaging physics roadmap

Research Scientist – Computed Tomography

• Lead the design and execution of optimization and active-learning campaigns across chemistry, formulation, and process development
• Collaborate with R&D and manufacturing on framing optimization problems
• Design and coordinate sequential experiment campaigns using Bayesian optimization
• Drive closed-loop optimization that connects surrogate models to experimentation
• Partner with ML engineers, software engineers, and process engineers to deploy and monitor optimization systems
• Communicate methods, results, and their limitations clearly

Applied ML Scientist – Active Learning

• Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
• Collaborate with R&D and manufacturing on problem framing
• Curate and analyze chemical and experimental data
• Develop and select input representations for raw materials, chemistry, and signal data
• Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
• Quantify and calibrate model performance and uncertainty

Applied ML Scientist – Chemistry

• Lead laboratory research on pMDI resin systems, including neat resin, aqueous suspensions, emulsions, and related binder technologies for wood composite applications such as OSB, MDF, particleboard, and adjacent materials.
• Design and execute experiments that link formulation, processing, and substrate variables to adhesive performance, including moisture, press time, resin loading, viscosity, emulsion stability, penetration behavior, and wood-furnish characteristics.
• Integrate artificial intelligence, machine learning, and advanced analytics with laboratory research to generate predictive models that optimize bond performance, process efficiency, raw-material usage, and total cost in wood-mill operations.
• Develop structure-property-process understanding for pMDI systems using analytical, thermal, rheological, microscopy, and mechanical testing methods.
• Interpret laboratory and pilot data to define performance windows, identify root causes, and uncover opportunities for product and process optimization.
• Translate research findings into practical recommendations for scale-up, plant trials, manufacturing implementation, and customer-facing technical support.
• Partner cross-functionally with R&D, process engineering, manufacturing, commercial teams, and external stakeholders to align innovation priorities with business strategy and mill-performance goals.

• Provide day-to-day leadership of the Consortium to Advance Police Supervision (CAPS)
• Build and maintain strong relationships with police agencies, professional associations, national partners, and other stakeholders
• Work directly with first-line supervisors and agency leaders to identify emerging needs, inform research and product development
• Lead and collaborate on research and evaluation projects related to police supervision, organizational practices, and public safety issues
• Develop and deliver presentations, training, technical assistance for practitioner audiences

Research Scientist jobs in Ohio

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Research Scientist – Computed Tomography

Applied ML Scientist – Active Learning

Applied ML Scientist – Chemistry

Research Scientist

Law Enforcement Policy Research Scientist