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Machine Learning Computational Chemistry Jobs in Ohio

Varsity Tutors

High School Chemistry Tutor

Cleveland, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Emphasizes building chemical intuition alongside computational skills and connects chemistry to ...

Varsity Tutors

High School Chemistry Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Emphasizes building chemical intuition alongside computational skills and connects chemistry to ...

Varsity Tutors

High School Chemistry Tutor

Akron, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Emphasizes building chemical intuition alongside computational skills and connects chemistry to ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

... AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a ...

Chenega Corporation

Chief Data Officer

Dayton, OH · On-site

... AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

... AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

... AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a ...

Socket.dev

Chief Data Officer

Bath, OH · On-site

$130 - $180/hr

... AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a ...

micro1 AI

AI Trainer - Microbiology Expert

Akron, OH · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Columbus, OH · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Dayton, OH · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Toledo, OH · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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Showing results 21-40

All JobsMachine Learning Computational Chemistry JobsMachine Learning Computational Chemistry Jobs in Ohio

Machine Learning Computational Chemistry information

See Ohio salary details

$22.4K

$104.6K

$193.3K

How much do machine learning computational chemistry jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning computational chemistry in Ohio is $104,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,387.00 and $141,231.00 per year, depending on experience, location, and employer.

Is computational chemistry in demand?

Computational chemistry is in high demand within industries such as pharmaceuticals, materials science, and chemical research, where it supports drug discovery and molecular modeling. Professionals with skills in machine learning, programming, and chemistry are increasingly sought after to develop advanced simulation tools and analyze complex data sets.

What is the difference between Machine Learning Computational Chemistry vs Computational Chemist?

AspectMachine Learning Computational ChemistryComputational Chemist
Required CredentialsAdvanced degrees in chemistry, computer science, or related fields; knowledge of machine learning and programmingDegree in chemistry, chemical engineering, or related fields; strong background in chemical theory and modeling
Work EnvironmentResearch labs, tech companies, academia; focus on algorithm development and data analysisLaboratories, research institutions, industry; focus on chemical modeling and simulation
Employer & Industry UsageTech firms, pharmaceutical companies, research institutions applying AI/ML techniquesPharmaceutical, chemical, and materials industries conducting chemical research and development

Machine Learning Computational Chemists specialize in applying machine learning algorithms to chemical data, enhancing predictive models and simulations. Computational Chemists focus on traditional chemical modeling and simulations using computational methods. Both roles require strong chemistry backgrounds, but Machine Learning Computational Chemists emphasize data science and AI skills, while Computational Chemists focus on chemical theory and modeling techniques.

What is machine learning computational chemistry?

Machine learning computational chemistry is a field that combines machine learning techniques with computational chemistry to accelerate the discovery and design of molecules and materials. By training algorithms on large datasets of chemical information, researchers can predict molecular properties, simulate chemical reactions, and optimize compounds more efficiently than traditional methods. This approach helps reduce the time and cost required for research in drug discovery, materials science, and related fields.

What are some common challenges faced by professionals working in machine learning computational chemistry roles?

One common challenge in Machine Learning Computational Chemistry roles is integrating large and often complex chemical datasets with appropriate machine learning models, which requires a solid understanding of both domains. Professionals may also encounter difficulties in ensuring that their models are both interpretable and generalizable to new data, as overfitting is a frequent issue. Additionally, collaboration with chemists and data scientists is essential, so clear communication across disciplines is key to success. Staying up to date with the latest developments in both computational chemistry and machine learning is crucial for ongoing professional growth.

What are the key skills and qualifications needed to thrive as a machine learning computational chemist, and why are they important?

To thrive as a Machine Learning Computational Chemist, you need a solid background in chemistry, mathematics, and computer science, typically supported by an advanced degree in computational chemistry, cheminformatics, or a related field. Proficiency with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and molecular modeling software is essential. Strong analytical thinking, problem-solving skills, and effective collaboration are key soft skills that help drive innovation and teamwork. These skills and qualifications are critical for developing accurate models, advancing research, and translating computational insights into real-world chemical solutions.

What are popular job titles related to Machine Learning Computational Chemistry jobs in Ohio?

For Machine Learning Computational Chemistry jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Machine Learning Computational Chemistry jobs in Ohio look for?

The top searched job categories for Machine Learning Computational Chemistry jobs in Ohio are:

What cities in Ohio are hiring for Machine Learning Computational Chemistry jobs?

Cities in Ohio with the most Machine Learning Computational Chemistry job openings:

Machine Learning Computational Chemistry jobs near you

Engineer, Development (AI-Augmented Scientific Modeling)

JMJ PHILLIP

Perrysburg, OH • On-site

$130 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

We are seeking an Engineer, Development (AI-Augmented Scientific Modeling) to develop and enhance advanced scientific modeling solutions by integrating artificial intelligence, data-driven methodologies, and computational engineering techniques. The ideal candidate is passionate about innovation, enjoys solving complex technical challenges, and has experience applying AI and computational modeling to accelerate research, product development, and engineering decision-making.

Position ResponsibilitiesAI Model Development
  • Develop and implement AI-augmented scientific and engineering models.
  • Integrate machine learning techniques with traditional physics-based modeling approaches.
  • Evaluate and improve model accuracy, scalability, and performance.
Scientific Modeling & Simulation
  • Design, develop, and validate computational models for engineering and scientific applications.
  • Analyze simulation results and recommend design or process improvements.
  • Ensure models accurately represent real-world systems and behaviors.
Data Analysis & Machine Learning
  • Collect, clean, and analyze large datasets to support predictive modeling.
  • Develop algorithms that improve model efficiency and decision-making.
  • Apply statistical and machine learning techniques to solve engineering challenges.
Research & Innovation
  • Stay current with advancements in AI, scientific computing, and emerging technologies.
  • Evaluate new tools and methodologies to improve development capabilities.
  • Contribute to research initiatives and technology roadmaps.
Cross-Functional Collaboration
  • Collaborate with engineering, research, software development, and data science teams.
  • Translate complex technical findings into actionable recommendations.
  • Support product development through technical expertise and analytical insights.
Documentation & Technical Communication
  • Prepare technical documentation, reports, and model validation results.
  • Present findings to internal stakeholders and leadership.
  • Maintain documentation to support knowledge sharing and regulatory compliance where applicable.
Prerequisites
  • Bachelor's, Master's, or Ph.D. in Engineering, Computer Science, Applied Mathematics, Physics, Materials Science, or a related technical field.
  • Experience in scientific computing, computational modeling, simulation, or AI-driven engineering applications.
  • Knowledge of machine learning frameworks and programming languages such as Python, MATLAB, or similar tools.
  • Experience with numerical methods, optimization, and data analysis.
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to work collaboratively in multidisciplinary engineering and research environments.
Certifications (Preferred, but Not Required)
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Certified TensorFlow Developer
  • Data Science or Artificial Intelligence certifications
  • Lean Six Sigma Green Belt
What the Role Offers
  • Salary Range: $130,000 – $160,000 annually.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company contributions.
  • Performance-based incentive opportunities.
  • Paid time off and company holidays.
  • Professional development and continuing education support.
  • Access to cutting‑edge AI technologies and research initiatives.
  • Collaborative engineering environment with opportunities for career advancement.
Why Perrysburg?

Perrysburg offers an excellent environment for engineering and technology professionals, with access to a growing innovation ecosystem, advanced manufacturing, and research-driven industries. The area provides opportunities to work on cutting‑edge technologies while enjoying a strong professional community, a high quality of life, and excellent long‑term career growth.

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