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Qsar Jobs (NOW HIRING)

Principal Toxicologist

Northfield, IL · On-site

$152K - $229K/yr

Conduct and interpret chemical characterization (e.g., E&L studies, ISO 10993-18, ISO 18562), SAR/QSAR modeling, and guide biocompatibility testing under GLP requirements. * Serve as a subject matter ...

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 ...

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 ...

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Qsar information

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How much do qsar jobs pay per hour?

As of Jun 9, 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?

AspectQsarChemist
Required CredentialsDegree in chemistry, pharmacology, or related field; often requires experience in data analysisDegree in chemistry or related field; may require licensure or certification for certain roles
Work EnvironmentResearch labs, pharmaceutical companies, or biotech firms focusing on data modelingLaboratories, manufacturing plants, or research institutions conducting experiments and analysis
Industry UsagePrimarily in drug discovery, environmental science, and chemical research for predictive modelingInvolved 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.

What are the most commonly searched types of Qsar jobs? The most popular types of Qsar jobs are:
Infographic showing various Qsar job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $59,222 per year, or $28.5 per hour.

Computational Chemist

Eurofins USA Discovery Services

Saint Charles, MO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 1 hour ago


Job description

Company Description

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies.

In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to over 50,000 staff across a network of more than 900 independent companies in over 50 countries and operating more than 800 laboratories. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialized clinical diagnostics testing.

In 2021, Eurofins generated total revenues of EUR € 6.7 billion, and has been among the best performing stocks in Europe over the past 20 years.

Job Description

Eurofins Discovery is very motivated to apply computational sciences, data visualization, bioinformatics and other data-driven approaches to all steps of the drug development process at every level of the organization. Given the expanding scope of the Drug Discovery Chemistry group's operations, the successful candidate will have the opportunity to continue to build on the existing team to achieve this goal. S/he will be a champion of promoting computational sciences as an integral part of Hit Finding campaigns, modern ML/AI supported drug discovery and Eurofins flagship Integrated Drug Discovery Programs under DiscoveryOne.  Work closely with DiscoveryAI business to support/lead Eurofins Discovery wider AI based initiatives.

This individual will be responsible for technical consultation with our chemistry and biology experts and scientists, overseeing and leading scientific data governance, analytical tool development, computational chemistry methods development, and meta-analyses of internal and external data from multiple technologies.

Essential Duties and Responsibilities:

  • Represent Computational Chemistry as the subject matter expert for nonclinical research and development;
  • Independently pursue research projects, implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of clinical candidate;
  • Contribute to the development, implementation and utilization of state-of-the-art computational software, computer aided drug design and simulation techniques to help drive in silico drug discovery activities;
  • Responsible for the analysis, interpretation, integration and reporting of research informatics data generated with internal teams and external clients;
  • Partner with and support medicinal chemistry team during lead optimization related activities such as docking and scoring of the molecules from rational drug design
  • Apply or develop new tools or data-mining techniques for integrative analysis and visualization of large data sets;
  • Participate in data governance objectives working closely with IT and the laboratory teams;
  • Provide transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Drug Discovery Chemistry leadership;
  • Owns the accountability and responsibility of delivering to client needs and timeliness;
  • Provides cross-functional support to other departments as required;
Qualifications
  • Proven track record of impact in drug discovery projects (e.g., contribution to lead identification/optimization, progression of compounds into development)
  • Strong understanding of medicinal chemistry principles and the ability to translate computational insights into actionable design hypotheses
  • Experience with ligand-based design approaches (e.g., QSAR, similarity searching, conformational analysis)
  • Knowledge of free energy methods (e.g., FEP, MM-GBSA) and their practical application/limitations
  • Experience handling and curating large chemical and biological datasets (data quality, standardization, reproducibility)
  • Familiarity with modern AI/ML approaches in drug discovery (e.g., deep learning, generative models) and their appropriate use cases
  • Ability to design, validate, and benchmark computational workflows rather than only applying existing protocols
  • Strong statistical thinking and understanding of uncertainty, validation strategies, and model performance metrics
  • Experience working in cross-functional teams (medicinal chemistry, biology, DMPK) and communicating results to non-experts
  • Good software engineering practices (version control, reproducible pipelines, documentation)
  • Exposure to ADMET prediction tools and integration into design cycles
  • Ability to critically assess experimental data (SAR, assay variability) and integrate it into modeling efforts Leadership or mentoring experience Strategic thinking in selecting and deploying computational, AI & ML  approaches aligned with project goals
  • Proven ability to successfully influence cross-functionally and to be sought after as a technical expert within the computational sciences applied to drug development domain
  • Travels to other Eurofins facilities is required. Percentage of working time of approximately 25-50%.

Additional Information

The position is full-time, Monday-Friday, 8 a.m.- 5 p.m., with overtime as needed. 

  • Excellent full time benefits including comprehensive medical coverage, dental, and vision options
  • Life and disability insurance
  • 401(k) with company match
  • Paid vacation and holidays

Eurofins USA Discovery Services is a Disabled and Veteran Equal Employment Opportunity employer.