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 ...
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 ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
Develop approaches for MPS-to-in vivo extrapolation and computational toxicology integration (QSAR, machine learning, predictive modeling). * Provide scientific oversight, technical review, and ...
Develop approaches for MPS-to-in vivo extrapolation and computational toxicology integration (QSAR, machine learning, predictive modeling). * Provide scientific oversight, technical review, and ...
Develop approaches for MPS-to-in vivo extrapolation and computational toxicology integration (QSAR, machine learning, predictive modeling). * Provide scientific oversight, technical review, and ...
Develop approaches for MPS-to-in vivo extrapolation and computational toxicology integration (QSAR, machine learning, predictive modeling). * Provide scientific oversight, technical review, and ...
Responsibilities : • Develop highly scalable and integrated workflows for relative binding free energy workflows in lead optimization • Explore machine learning models such as 3D-QSAR using large ...
Responsibilities : • Develop highly scalable and integrated workflows for relative binding free energy workflows in lead optimization • Explore machine learning models such as 3D-QSAR using large ...
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 ...
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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 ...
Computational Chemist
San Francisco, CA · On-site
Strong background in cheminformatics: molecular fingerprints, QSAR/QSPR, property prediction, scaffold analysis, cheminformatics libraries (e.g., RDKit, OpenBabel) * Expert coding in at least one ...
Computational Chemist
San Francisco, CA · On-site
Strong background in cheminformatics: molecular fingerprints, QSAR/QSPR, property prediction, scaffold analysis, cheminformatics libraries (e.g., RDKit, OpenBabel) * Expert coding in at least one ...
Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations * Develop data-driven models using 2D cheminformatics and 3D molecular shape ...
Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations * Develop data-driven models using 2D cheminformatics and 3D molecular shape ...
Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations * Develop data-driven models using 2D cheminformatics and 3D molecular shape ...
Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations * Develop data-driven models using 2D cheminformatics and 3D molecular shape ...
Senior Associate Toxicology
Racine, WI · On-site
OECD QSAR Toolbox and the US EPA CompTox Dashboard PREFERRED ATTRIBUTES: • Consumer Goods product safety environmental risk assessment experience strongly preferred and the ability to learn and ...
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Senior Associate Toxicology
Racine, WI · On-site
OECD QSAR Toolbox and the US EPA CompTox Dashboard PREFERRED ATTRIBUTES: • Consumer Goods product safety environmental risk assessment experience strongly preferred and the ability to learn and ...
Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations * Develop data-driven models using 2D cheminformatics and 3D molecular shape ...
Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations * Develop data-driven models using 2D cheminformatics and 3D molecular shape ...
... QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models). • Hands-on experience with model monitoring, drift detection, and automated retraining systems. • Familiarity with API ...
... QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models). • Hands-on experience with model monitoring, drift detection, and automated retraining systems. • Familiarity with API ...
Scientist I, Computational Chemistry
San Diego, CA · On-site +1
$120K - $135K/yr
Experience with a diversity of computational methods, including but not limited to docking, MD, free energy of binding methods (highly desired), homology modeling, QSAR modeling, pharmacophore ...
Scientist I, Computational Chemistry
San Diego, CA · On-site +1
$120K - $135K/yr
Experience with a diversity of computational methods, including but not limited to docking, MD, free energy of binding methods (highly desired), homology modeling, QSAR modeling, pharmacophore ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
You have experience with molecular property prediction or QSAR modeling * You have publications at top-tier venues (e.g., NeurIPS, ICML, ICLR) or relevant chemistry and cheminformatics journals * You ...
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You have experience with molecular property prediction or QSAR modeling * You have publications at top-tier venues (e.g., NeurIPS, ICML, ICLR) or relevant chemistry and cheminformatics journals * You ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
Scientist I, Computational Chemistry
San Diego, CA · On-site
$120K - $135K/yr
Experience with a diversity of computational methods, including but not limited to docking, MD, free energy of binding methods (highly desired), homology modeling, QSAR modeling, pharmacophore ...
Scientist I, Computational Chemistry
San Diego, CA · On-site
$120K - $135K/yr
Experience with a diversity of computational methods, including but not limited to docking, MD, free energy of binding methods (highly desired), homology modeling, QSAR modeling, pharmacophore ...
Familiarity with cheminformatics tools and concepts such as molecular descriptors, fingerprints, QSAR modeling, and chemical database management. * Experience with Machine Learning Platforms (e.g ...
Familiarity with cheminformatics tools and concepts such as molecular descriptors, fingerprints, QSAR modeling, and chemical database management. * Experience with Machine Learning Platforms (e.g ...
VP/SVP of Drug Discovery
Boston, MA · On-site
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
Quick apply
VP/SVP of Drug Discovery
Boston, MA · On-site
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
Quick apply
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...
Qsar information
See salary details
$5.29 - $10.18
0% of jobs
$10.18 - $15.08
0% of jobs
$19.97 is the 25th percentile. Wages below this are outliers.
$15.08 - $19.97
25% of jobs
The median wage is $24.67 / hr.
$19.97 - $24.87
26% of jobs
$29.76 is the 75th percentile. Wages above this are outliers.
$24.87 - $29.76
24% of jobs
$29.76 - $34.66
14% of jobs
$34.66 - $39.55
2% of jobs
$39.55 - $44.45
3% of jobs
$44.45 - $49.34
3% of jobs
$49.34 - $54.24
2% of jobs
$54.24 - $59.13
1% of jobs
$5
$28
$59
How much do qsar jobs pay per hour?
As of Jun 29, 2026, the average hourly pay for qsar in the United States is $28.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $30.77 per hour, depending on experience, location, and employer.
What are QSARs?
QSAR stands for Quantitative Structure-Activity Relationship. It refers to computational models used to predict the biological activity or chemical properties of molecules based on their chemical structure. By analyzing patterns between molecular features and observed outcomes, QSAR models help scientists in drug discovery, toxicology, and environmental chemistry to screen compounds more efficiently. These methods reduce the need for extensive laboratory testing and support decision-making in chemical and pharmaceutical industries.
What are the key skills and qualifications needed to thrive as a QSAR (Quantitative Structure-Activity Relationship) Scientist, and why are they important?
To thrive as a QSAR Scientist, you need strong expertise in cheminformatics, computational chemistry, and statistical modeling, usually supported by an advanced degree in chemistry, bioinformatics, or a related field. Familiarity with tools such as Python, R, molecular modeling software, and QSAR-specific platforms, as well as experience with relevant databases, is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These skills are crucial for developing reliable predictive models that advance drug discovery and chemical safety assessments.
What are some common challenges faced by QSAR (Quantitative Structure-Activity Relationship) scientists when working with large chemical datasets?
QSAR scientists often handle large and complex chemical datasets, which can present challenges such as data quality issues, missing values, and chemical structure inconsistencies. Managing and preprocessing this data to create reliable predictive models requires attention to detail and strong problem-solving skills. Additionally, collaborating with interdisciplinary teams—such as chemists, biologists, and data analysts—is essential to interpret results accurately and develop models that are both robust and relevant to real-world applications.
What is the difference between Qsar vs Chemist?
| Aspect | Qsar | Chemist |
|---|---|---|
| Required Credentials | Degree in chemistry, pharmacology, or related field; often requires experience in data analysis | Degree in chemistry or related field; may require licensure or certification for certain roles |
| Work Environment | Research labs, pharmaceutical companies, or biotech firms focusing on data modeling | Laboratories, manufacturing plants, or research institutions conducting experiments and analysis |
| Industry Usage | Primarily in drug discovery, environmental science, and chemical research for predictive modeling | Involved in product development, quality control, and research within chemical and pharmaceutical industries |
Qsar specialists focus on developing predictive models using chemical data, often working with computational tools. Chemists perform experimental work, analyze substances, and develop new products. While both roles require chemistry knowledge, Qsar roles emphasize data analysis and modeling, whereas chemists focus on hands-on experimentation and synthesis.
More about Qsar jobs
What are the most commonly searched types of Qsar jobs? The most popular types of Qsar jobs are:
What job categories do people searching Qsar jobs look for? The top searched job categories for Qsar jobs are:
$80K/yr
Other
Medical, Dental, Vision, Retirement
Posted 25 days ago
Key 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.
Collaborate with chemistry and research teams to integrate AI/ML and cheminformatics into DMTA workflows.
Givaudan rating
8.9
Based on 32 frontline employees who took The Breakroom Quiz
9th of 91 rated chemical manufacturers
Job description
Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with our customers, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There's much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with.
In the USA, we develop, market and produce a wide array of solutions from our 25 most innovative sites, based across the country. Stretch your skills, create and get inspiration from passionate colleagues. Every day, your energy, your thirst for knowledge, and your creativity will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature.
Givaudan Flavors Science & Technology is looking for a Cheminformatics Scientist to join a versatile team advancing flavor ingredient discovery. 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 Cheminformatics Scientist
Your Location Onsite (Givaudan facility)
You Will Report To Flavors Science & Technology Computational Sciences Lead
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.
Your Professional Profile Includes
- 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.
Compensation and Benefits
The established salary range for this position is $80,000-120,000k, depending on individual qualifications and experience. Employees receive medical, dental, and vision coverage, along with a high-matching 401(k) retirement plan.
#LI-Onsite
At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives.
You work within an inspiring teamwork culture - where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions.
Every essence of you enriches our world.
Diversity of perspectives fuels innovation and fosters deeper connections with our employees, customers, and partners. At Givaudan, we are dedicated to cultivating an inclusive environment where every individual's voice is valued and has the power to shape our world. Join us in making a difference together.
About Givaudan
Sourced by ZipRecruiter