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Machine Learning Chemistry Jobs in Ohio (NOW HIRING)

Givaudan

Cheminformatics Scientist

Cincinnati, OH · On-site

$80K/yr

Apply statistical, cheminformatics, and machine learning methods to improve hit identification and hit-to-lead processes. * Collaborate with chemistry and research teams to integrate AI/ML and ...

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

Integrate artificial intelligence, machine learning, and advanced analytics with laboratory ... Investigate curing mechanisms and reaction pathways involving isocyanate chemistry, water ...

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

Integrate artificial intelligence, machine learning, and advanced analytics with laboratory ... Investigate curing mechanisms and reaction pathways involving isocyanate chemistry, water ...

Survice

Software Engineer

Vandalia, OH · On-site

$75K - $115K/yr

Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science ... Understanding of machine learning algorithms and techniques * Demonstrated ability to work ...

BAE Systems

Eng II - Signal & Image Proc

Dayton, OH · On-site

$72K - $122K/yr

Systems Engineering, Software Development, Machine Learning, Algorithm Development. * Bachelor of Science (BS) degree in engineering or science (chemistry, geology, physics, remote sensing, etc.

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How much do machine learning chemistry jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for machine learning chemistry in Ohio is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $23.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Chemistry position, and why are they important?

To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.

What is a Machine Learning Chemistry job?

A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.

What are the typical projects and daily responsibilities for someone working in Machine Learning Chemistry?

Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.

What are the most commonly searched types of Machine Learning Chemistry jobs in Ohio? The most popular types of Machine Learning Chemistry jobs in Ohio are:
What are popular job titles related to Machine Learning Chemistry jobs in Ohio? For Machine Learning Chemistry jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Chemistry jobs in Ohio look for? The top searched job categories for Machine Learning Chemistry jobs in Ohio are:
Machine Learning Chemistry jobs near you
Infographic showing various Machine Learning Chemistry job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,009 per year, or $21.2 per hour.
Assistant Professor of Chemistry, Tenure-track

Assistant Professor of Chemistry, Tenure-track

Denison University

Granville, OH • On-site

Full-time

Posted 14 days ago

Job description

Description
The DEPARTMENT OF CHEMISTRY AND BIOCHEMISTRY at DENISON UNIVERSITY invites applicants for a full-time tenure-track position starting in fall 2027, with expertise in or related to analytical, computational, inorganic, or materials chemistry. Candidates should demonstrate a strong commitment to teaching at the undergraduate level and the ability to develop a robust, independent research program that recruits and engages undergraduates to produce published research. Teaching responsibilities include classroom and laboratory instruction at the introductory level, intermediate level (analytical, inorganic, physical, or polymer chemistry), and an advanced course in the candidate's field of expertise.
Our department's ACS-accredited program offers degrees in chemistry and in biochemistry and has excellent classroom and laboratory facilities with a broad range of available instrumentation for both teaching and research. See our website (denison.edu/academics/chemistry-biochemistry) for more information about our faculty, program, and facilities.
Denison University is an academically rigorous and nationally ranked residential liberal arts college, located in the village of Granville, 30 minutes from Columbus, Ohio, the state capital. The thriving Columbus metropolitan area offers a wide range of opportunities for dual-career families, includes excellent school systems, and hosts an array of cultural and artistic events (columbusregion.com).
Denison offers a competitive salary and a comprehensive benefits package. The college provides generous annual professional development funds, strong support for student and faculty research, a one-semester pre-tenure sabbatical, and a number of mentorship and professional development workshops and programs. Contributions to the life of the department, the institution, and the larger community are an essential part of fulfilling Denison's mission, and the successful candidate is expected to engage in service activities in a way that is congruent with their work as a teacher-scholar.
Qualifications
A Ph.D. and subsequent research experience are required. The priority date for full consideration is September 14, 2026.
Application Instructions
Applicants should submit the following:
1) a cover letter addressing their motivations for teaching at a small, residential, liberal arts college;
2) curriculum vitae, including a publication list;
3) undergraduate and graduate transcripts;
4) a statement of teaching philosophy addressing approaches to classroom and laboratory courses at the introductory and intermediate level, and a new course in their specialty;
5) a statement detailing the applicant's proposed research program (5 page maximum).
In their materials, applicants should discuss how their teaching and research mentorship will foster the engagement and success of students who have varying backgrounds and interests. Applicants are encouraged to include how they will incorporate rapidly evolving technological tools (such as data analytics, cheminformatics, machine learning, or generative AI), highlighting how such tools will be leveraged to benefit teaching and learning, research, or students' career readiness and, if relevant, any existing or potential connections with industry, government, or non-profit sectors.

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