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Pharmacy Careers

Appeals Pharmacist (Remote)

Columbus, OH · On-site

$54.50 - $65.50/hr

Remote Appeals Pharmacist - Fair Medication Access Work From Home | Strong Clinical Writing Focus ... Collaborate with physicians, nurses, and medical directors during case reviews. * Track and report ...

Apex Systems

Business Reporting Manager

Columbus, OH · On-site

... remote Fridays Job Type: Contract to Hire Job Summary We are seeking an experienced Business ... Collaborate with internal stakeholders across Technology to review and create new report requests ...

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How much do report reviewer remote jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for report reviewer remote in the United States is $29.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $36.54 per hour, depending on experience, location, and employer.

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

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Columbus, OH • Remote

$80 - $110/hr

Part-time

Posted 28 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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