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Structure Properties Jobs Near Me

micro1 AI

Cheminformatics Specialist - Remote

Columbus, OH · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

micro1 AI

Bioinformatics Software Engineer

Columbus, OH · Remote

$80 - $110/hr

Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. * Build and implement code-based ...

Original Composites and Fibers

Senior Scientist

Granville, OH · On-site

$84K - $115K/yr

Establish structure-property relationships using surface, mechanical, and physicochemical characterization techniques * Design and execute experimental plans (DOE, statistical analysis, data-driven ...

Qnity Electronics, Inc.

Senior Scientist

Circleville, OH · On-site

$85K - $116K/yr

Deep understanding of polymer structure property relationships. * Deep understanding of: * Polymer statistical mechanics (chain conformations, scaling, entropic elasticity) * Thermodynamics of ...

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As of Aug 17, 2026, the average hourly pay for structure properties in the United States is $17.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.47 per hour, depending on experience, location, and employer.

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A map of the United States highlighting the number of Structure Properties job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Structure Properties job openings in each state, with California having the most at 2 and Hawaii the least at 0.

AI Training Specialist - Cheminformatics

micro1 AI

Columbus, OH • Remote

$80 - $110/hr

Part-time

Posted 15 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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