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Research Scientist Computer Science Jobs in Ohio

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

We activate science to deliver progress-developing breakthrough solutions that strengthen ... Lead laboratory research on pMDI resin systems, including neat resin, aqueous suspensions ...

Promedica

Clinical Research Scientist

Toledo, OH

As the Clinical Research Scientist, you implement investigator-initiated clinical research studies ... Excellent computer skills including Epic EMR, Red Cap, and experience with using large datasets ...

Hexion Careers

pMDI Research Scientist

Columbus, OH · On-site

We activate science to deliver progress--developing breakthrough solutions that strengthen ... Lead laboratory research on pMDI resin systems, including neat resin, aqueous suspensions ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Participate in cutting-edge research for medical applications of computer vision Must Have ...

Azimuth Corporation

Scientist III

Dayton, OH · On-site

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * Entry level or 0-2 years of software development experience, preferably in a research or scientific ...

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Research Scientist Computer Science information

What does a research scientist in computer science do?

A Research Scientist in Computer Science explores new theories, models, and technologies to advance the field. They conduct experiments, analyze data, and publish findings in scientific journals or conferences. Their work often involves collaborating with other researchers, developing prototypes, and contributing to innovations in areas like artificial intelligence, machine learning, cybersecurity, or data science. The goal is to solve complex problems and push the boundaries of what computers and algorithms can achieve.

What are the key skills and qualifications needed to thrive as a research scientist in computer science?

To thrive as a Research Scientist in Computer Science, you need advanced knowledge of algorithms, data structures, and computational theory, typically supported by a Ph.D. or relevant graduate degree. Proficiency with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems is essential, and experience with machine learning frameworks or high-performance computing can be advantageous. Critical thinking, creativity, and effective communication are vital soft skills for formulating innovative research questions and collaborating across multidisciplinary teams. These skills enable the development of pioneering solutions, clear dissemination of findings, and significant contributions to the advancement of technology.

How does a research scientist in computer science typically collaborate with other professionals on interdisciplinary projects?

Research Scientists in Computer Science often work closely with experts from diverse fields such as data science, engineering, healthcare, or social sciences, depending on the project's focus. Collaboration usually involves joint problem-solving, sharing domain-specific knowledge, and integrating different methodologies to address complex research questions. Communication skills are crucial, as scientists must translate technical concepts for non-technical stakeholders and ensure all team members are aligned on goals and deliverables. Regular meetings, shared documentation, and collaborative software tools are commonly used to facilitate effective teamwork.

What is the difference between Research Scientist Computer Science vs Data Scientist?

AspectResearch Scientist Computer ScienceData Scientist
Required CredentialsAdvanced degrees in CS or related fields, research experienceDegree in CS, statistics, or related fields; data analysis certifications
Work EnvironmentResearch labs, academia, R&D departmentsCorporate offices, tech companies, analytics firms
Employer & Industry UsageUniversities, research institutions, tech companiesBusiness, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding research roles in CSData analysis and application roles

Research Scientist Computer Science focuses on advancing knowledge through research, often in academic or R&D settings, requiring strong research credentials. Data Scientist emphasizes analyzing and interpreting data to inform business decisions, typically in industry settings. While both roles require technical skills, their work environments and objectives differ significantly.

What are popular job titles related to Research Scientist Computer Science jobs in Ohio?

For Research Scientist Computer Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Research Scientist Computer Science jobs in Ohio look for?

The top searched job categories for Research Scientist Computer Science jobs in Ohio are:

Research Scientist Computer Science jobs near you
Infographic showing various Research Scientist Computer Science job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 11% Part Time, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

pMDI Research Scientist

Hexion, Inc.

Columbus, OH • On-site

Full-time

Re-posted 24 days ago

Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

75th of 100 rated chemical manufacturers

Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Position Overview
The pMDI Research Scientist leads high-impact laboratory research that advances polymeric methylene diphenyl diisocyanate (pMDI) technologies for engineered wood and related adhesive applications. This role combines deep materials and adhesive science with artificial intelligence, data science, and experimental modeling to generate new predictive models that accelerate discovery and optimize resin performance, manufacturing cost, and mill productivity. The position drives formulation and application-development work across resin chemistry, aqueous suspension and emulsion behavior, curing kinetics, wood-substrate interaction, and process-performance relationships, translating scientific insight into scalable product and process solutions that improve performance, safety, sustainability, and commercial value.
Job Responsibilities
  • 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.
  • Document experimental methods, model outputs, conclusions, and next steps in technical reports, presentations, and project updates while maintaining high standards for laboratory safety, environmental stewardship, and compliance.

Key Responsibilites
  • Plan, prioritize, and execute hands-on laboratory programs focused on pMDI formulation, application, and performance improvement.
  • Investigate curing mechanisms and reaction pathways involving isocyanate chemistry, water interactions, and wood-surface functionality.
  • Develop and optimize aqueous pMDI suspension or emulsion systems with attention to stability, viscosity growth, processing windows, and final bond performance.
  • Build and refine AI- and data-driven models using laboratory, pilot, and manufacturing data to predict adhesive behavior, optimize formulations, and improve mill throughput, quality, and cost performance.
  • Evaluate bonding performance using relevant test methods such as internal bond, dimensional stability, pull-off, lap-shear, and other application-specific metrics.
  • Characterize material behavior using techniques such as viscosity measurement, thermal analysis, microscopy, spectroscopy, surface analysis, and imaging methods to understand penetration, wetting, and interfacial interactions.
  • Apply rigorous data analysis, statistical methods, and design of experiments to convert complex findings into clear technical conclusions and actionable recommendations.
  • Partner with manufacturing and process teams to define trial plans, critical variables, risk-mitigation actions, and scale-up pathways for implementation in wood-mill environments.
  • Prepare technical summaries and present results to leadership, project teams, and commercial partners with decision-support insights grounded in both scientific and model-based evidence.
  • Monitor scientific, patent, regulatory, and competitive developments in pMDI, wood adhesives, AI-enabled materials research, and formaldehyde-free binder technologies to inform innovation strategy.
  • Contribute to intellectual property generation, technical publications, and knowledge capture as appropriate.
  • Support troubleshooting of product or process issues by identifying root causes and proposing corrective actions in collaboration with internal and external partners.

Qualifications and Experience
Required
  • Ph.D. in Polymer Science, Polymer Chemistry, Materials Science, Chemical Engineering, Wood Science, Data-Enabled Materials Research, or a closely related technical discipline; or M.S. with significant directly relevant industrial research experience.
  • 10+ years of experience in polymer, adhesive, isocyanate, polyurethane, or related reactive resin research and development.
  • Demonstrated expertise in structure-property relationships, formulation science, laboratory experimentation, and translating data into practical product and process insight.
  • Experience applying statistical analysis, design of experiments, modeling, and/or artificial intelligence tools to research, development, or manufacturing optimization problems.
  • Hands-on experience with material characterization and performance testing relevant to reactive resin systems.
  • Strong technical writing, problem-solving, and communication skills with the ability to influence technical and non-technical stakeholders.
  • Working knowledge of laboratory safety practices and chemical handling requirements for reactive materials.

Preferred
  • Industrial experience with pMDI or related isocyanate technologies in wood composites, coatings, adhesives, binders, or composite materials.
  • Knowledge of wood composite manufacturing processes, including OSB, MDF, plywood, or particleboard production.
  • Experience with aqueous suspension or emulsion systems, rheology, wetting and penetration studies, and curing kinetics.
  • Experience developing predictive models or applying machine learning, multivariate analysis, or digital experimentation tools in laboratory or manufacturing environments.
  • Familiarity with scale-up from lab to pilot or plant environments and supporting customer or mill trials.
  • Track record of invention disclosure, patent support, technical publication, or proprietary know-how generation.
  • Understanding of sustainability drivers, formaldehyde-free technologies, and evolving market and regulatory requirements in engineered wood applications.

Key Competencies
  • Deep technical expertise in polymer and reactive resin chemistry
  • Scientific curiosity and innovation mindset
  • Strong experimental design and analytical rigor
  • Problem solving and root-cause analysis
  • Ability to translate technical complexity into actionable recommendations
  • Project management and prioritization
  • Cross-functional collaboration and influence
  • Clear written and verbal communication
  • Attention to detail and disciplined documentation
  • Commitment to safety, compliance, and continuous improvement

Key Performance Indicators
  • Achievement of project milestones, technical deliverables, and development timelines
  • Quality, reproducibility, and statistical rigor of experimental work
  • Number and impact of formulation, process, or performance improvements advanced to pilot or commercial evaluation
  • Success rate of scale-up recommendations and plant or customer trial outcomes
  • Strength of technical documentation, presentations, and knowledge transfer
  • Contribution to intellectual property, invention disclosures, publications, or proprietary know-how
  • Effectiveness in solving technical issues and reducing development risk
  • Collaboration effectiveness with R&D, operations, commercial teams, and external partners
  • Adherence to safety, environmental, and compliance expectations
  • Contribution to strategic innovation goals in pMDI and formaldehyde-free adhesive technologies

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, minority status, sexual orientation, gender identity, protected veteran status, status as a qualified individual with a disability or any characteristic protected by law.
In order to be considered for this position candidates are required to submit an application for employment through our career site, be at least 18 years of age, willing to take a drug test, submit to a background investigation as part of the selection process, as well as additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies.
Candidates are required to have unrestricted authorization to work in the United States.
If currently an employee of the Company, you must have current satisfactory work performance and in most cases, have been in your current role for 18 months.
Disclaimer: We are not accepting unsolicited assistance from search firms/employment agencies for this employment opportunity. Please, no phone calls or emails to any employee about this position. All resumes submitted by search firms/employment agencies to any employee of the Company via email, the Internet, or in any other form and/or method without a valid written search firm agreement in place for this position will be deemed the sole property of the Company; no fee will be paid in the event a candidate is hired by the Company as a result of the unsolicited referral or through other means.

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