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Machine Learning Computational Chemistry Jobs in Indiana

Varsity Tutors

Physical Chemistry Tutor

Fort Wayne, IN · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

Varsity Tutors

Physical Chemistry Tutor

Valparaiso, IN · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

Varsity Tutors

Physical Chemistry Tutor

Bloomington, IN · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

Indiana University

Research Scientist

Bloomington, IN · On-site

$70K - $75K/yr

... computational and statistical methods and analyses including either graph theoretic of machine learning approaches (or both). • A track record of initiative, ability to lead a team (of ...

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$23K

$107.3K

$198.3K

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

As of May 30, 2026, the average yearly pay for machine learning computational chemistry in Indiana is $107,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,182.00 and $144,833.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Machine Learning Computational Chemistry jobs in Indiana? For Machine Learning Computational Chemistry jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Computational Chemistry jobs in Indiana look for? The top searched job categories for Machine Learning Computational Chemistry jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Computational Chemistry jobs? Cities in Indiana with the most Machine Learning Computational Chemistry job openings:
Machine Learning Computational Chemistry jobs near you
Infographic showing various Machine Learning Computational Chemistry job openings in Indiana as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,307 per year, or $51.6 per hour.
Computational Chemistry/Toxicology Scientist

Computational Chemistry/Toxicology Scientist

Vish Consulting Services Inc

Zionsville, IN • On-site

Contractor

Posted 4 days ago

Job description

VCS is looking for a computational chemistry/Toxicology Scientist for one of our client

Job Title - Computational Chemistry/Toxicology Scientist

Job Location - Indianapolis, IN 46077

Contract- 12+ Months with possible extension

Shift- Day M-F 40 hrs./week

Pay- 57/Hr.

Description:
The client has an exciting and challenging opportunity in the Predictive Safety Center within Regulatory Science for a Computational Scientist Contractor with expertise in c/Bioinformatics. The individual will partner with a multidisciplinary team to design, develop, and implement machine learning models to predict safety profiles of chemicals to support the discovery, development and registration of novel crop protection products. This position is located in Indianapolis, IN, while strong candidates working remotely will be considered.
Responsibilities:

  • Develop and apply chemistry structure-based predictive models for assessing safety profiles of early-stage discovery molecules
  • Assess potential mechanisms of toxicity by assessing ligand-protein binding affinity using protein structure alignment, binding pocket evaluation, and molecular docking
  • Work collaboratively with internal and external cross-functional multidisciplinary teams, collaborators, and consultants to implement in silico models to meet business needs
  • Serve as a subject matter expert on in silico modelling for the team and other partners in R&D sub-functions
  • Present the development and application of cheminformatics/bioinformatics approaches and novel ML/DL models internally and externally including scientific conferences
  • Keep abreast of the latest scientific development in the areas of machine learning, cheminformatics, bioinformatics, and related fields and identify technologies to be applied internally
  • Analyze complex datasets using machine learning approaches and interpret results to improve data-driven decision-making processes

Qualifications:

  • Ph.D. degree in Cheminformatics, Computational Chemistry, Computational Biology, Bioinformatics, Toxicology, or a related field
  • 3+ years of experience in developing machine learning models and applying cheminformatics/bioinformatics and AI for structure-based drug design, toxicology assessment, mechanism prediction
  • Strong technical background in machine learning, deep learning, and statistical modeling with prior experience in applying these techniques to process, analyze and draw insights from complex datasets involving chemical compound structures and toxicity endpoints
  • Demonstrated programming proficiency in Python and experience in utilizing machine learning libraries
  • Demonstrated in-depth knowledge in toxicology, chemistry, chemical structure, QSAR, protein structure
  • Knowledge in omics analysis and systems biology is a plus
  • Demonstrated teamwork and project leadership skills to manage multiple projects on different timelines for stakeholders across the business
  • Excellent communication and presentation skills to different stakeholder audiences

Thank You!

Bhanendra S Singh
Vish Consulting Services(VCS)
Bhanendra @vishusa.com