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Givaudan

Cheminformatics Scientist

Cincinnati, OH · On-site

They are seeking a Cheminformatics Scientist to join their Flavors Science & Technology team, focusing on advancing flavor ingredient discovery using cheminformatics, machine learning, and AI.

Givaudan

Cheminformatics Scientist

Cincinnati, OH · On-site

$80K/yr

You will apply cheminformatics, machine learning, and AI to develop novel aroma and taste molecules while collaborating across research teams to build data-driven discovery workflows. Your Title ...

Topos Bio

Computational Chemist

San Francisco, CA · On-site

Build and optimize cheminformatics pipelines for compound filtering, property prediction, fingerprint-based similarity search, and chemical space analysis * Collaborate with AI researchers to ...

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How much do cheminformatics jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for cheminformatics in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $68.75 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

In cheminformatics, high-paying roles typically require advanced education, but some related positions like freelance data consultants or contract specialists can earn around $10,000 monthly through experience and specialized skills. Generally, achieving this income level without a degree is uncommon in technical fields and often depends on expertise, certifications, and industry demand.

How much do cheminformatics data scientists make?

Cheminformatics data scientists typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, education, and location. Advanced skills in machine learning, programming, and familiarity with chemical databases can lead to higher compensation, especially in research or pharmaceutical industries.

Do computational chemists make good money?

Computational chemists, including those in cheminformatics, typically earn competitive salaries that vary by experience, education, and industry. Entry-level positions may start around $60,000 annually, while experienced professionals can earn over $120,000, especially in pharmaceutical or biotech sectors. Skills in programming, data analysis, and familiarity with chemical databases can enhance earning potential.

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

To thrive in Cheminformatics, you need a solid background in chemistry, computer science, and data analysis, often supported by a relevant degree in chemistry, bioinformatics, or a related field. Proficiency with cheminformatics software (e.g., RDKit, Open Babel), programming languages like Python or Java, and familiarity with databases such as SQL is highly valued. Strong problem-solving skills, teamwork, and clear scientific communication are essential soft skills for success in this interdisciplinary field. These skills ensure the effective development and application of computational tools to solve complex chemical and pharmaceutical research challenges.

What is a Cheminformatics job?

A Cheminformatics job involves using computational techniques, data analysis, and software tools to manage, analyze, and interpret chemical and molecular data. Professionals in this field apply machine learning, molecular modeling, and database management to support drug discovery, materials science, and other chemistry-related research. They often work in pharmaceutical, biotech, or academic settings, collaborating with chemists and data scientists to accelerate scientific discovery.

What types of projects or tasks can I expect to work on in a Cheminformatics role?

In a Cheminformatics position, you'll typically work on projects involving the analysis and management of chemical data, such as building and evaluating molecular models, developing algorithms for virtual screening, or optimizing compound libraries for drug discovery. Daily tasks often include programming, data visualization, collaborating with medicinal chemists or biologists, and contributing to research publications or presentations. You may also be responsible for maintaining database integrity and ensuring the quality of datasets used in computational experiments. The work is both collaborative and analytical, offering exposure to cutting-edge technology in chemical and pharmaceutical research environments.

How much does a theoretical chemist make?

A theoretical chemist's salary typically ranges from $60,000 to $120,000 annually, depending on experience, education, and location. Advanced roles or those in industry may offer higher compensation, especially with specialized skills in computational modeling and software tools.
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Cheminformatics jobs near you
Infographic showing various Cheminformatics job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $118,165 per year, or $56.8 per hour.

Cheminformatics Scientist

Givaudan

Cincinnati, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Givaudan rating

8.8

Company rating: 8.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

9th of 90 rated chemical manufacturers

Job description

Job Summary:
Givaudan is a global leader in flavor and fragrance solutions, dedicated to enhancing human experiences through innovation. They are seeking a Cheminformatics Scientist to join their Flavors Science & Technology team, focusing on advancing flavor ingredient discovery using cheminformatics, machine learning, and AI.
Responsibilities:
• Design and implement cheminformatics algorithms and workflows to accelerate flavor ingredient discovery across aroma and taste modalities.
• Develop, validate, and deploy predictive models using QSAR, machine learning, artificial intelligence, and 2D/3D computational approaches for small-molecule analysis and property prediction.
• 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 cheminformatics into DMTA workflows.
• Enhance databases and computational pipelines to support data-driven research.
• Develop computational tools, visualizations, and analytical programs for molecular data analysis.
• Communicate scientific insights across teams and support collaboration.
• Provide mentoring and promote best practices in data integrity, reproducibility, and FAIR data principles.
Qualifications:
Required:
• PhD or Master's degree in Cheminformatics, Computational Chemistry, Chemistry, or a related discipline.
• Expertise in structure-based drug design (SBDD), including docking, pharmacophore modeling, virtual screening, and molecular dynamics.
• 3+ years of experience with ligand-based modeling (QSAR, 2D/3D virtual screening) and protein modeling (e.g., homology modeling, protein-protein docking).
• Data science and statistical analysis skills, including exploratory data analysis and model validation.
• Advanced programming skills in Python or R, plus proficiency in an additional language, following coding best practices.
• Experience with cheminformatics tools (e.g., RDKit, OpenEye) and molecular analysis techniques such as library enumeration, similarity analysis, clustering, and dimensionality reduction.
• Industry familiarity with SQL/databases, analytics tools (KNIME, Spotfire, Shiny), and NLP/LLMs in scientific contexts; relevant industry experience.
Company:
Givaudan develops and manufactures products across fragrance & beauty and taste & wellbeing. Founded in 1895, the company is headquartered in Vernier, CHE, with a team of 10001+ employees. The company is currently Late Stage.

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