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Qsar Jobs (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Round Rock, TX · Remote

$80 - $110/hr

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

micro1 AI

Bioinformatics Software Engineer

Kenosha, WI · Remote

$80 - $110/hr

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

micro1 AI

Bioinformatics Software Engineer

Warren, MI · Remote

$80 - $110/hr

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

micro1 AI

Bioinformatics Software Engineer

Sunrise, FL · Remote

$80 - $110/hr

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

micro1 AI

Bioinformatics Software Engineer

Hialeah, FL · Remote

$80 - $110/hr

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

micro1 AI

Bioinformatics Software Engineer

San Angelo, TX · Remote

$80 - $110/hr

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

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Qsar information

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$5

$28

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How much do qsar jobs pay per hour?

As of Aug 16, 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 is a QSAR?

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 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 a QSAR scientist 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.

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What are the most commonly searched types of Qsar jobs?

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Qsar jobs near you
Infographic showing various Qsar job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $59,222 per year, or $28.5 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Buckeye, AZ • Remote

$80 - $110/hr

Part-time

Posted 13 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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