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Remote Scientific Reviewer Jobs in Utah (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

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Remote Scientific Reviewer information

How does a remote scientific reviewer typically collaborate with research teams and authors during the review process?

As a Remote Scientific Reviewer, you will primarily interact with research teams and authors via digital platforms, such as email and manuscript submission systems. Communication is often asynchronous, allowing you to provide detailed feedback, request clarifications, and discuss revisions with authors from anywhere in the world. You may also coordinate with editorial teams and other reviewers to ensure consistency in evaluations and uphold publication standards. While direct meetings are rare, clear and constructive written communication is essential for effective collaboration in this remote role.

What are the key skills and qualifications needed to thrive as a remote scientific reviewer, and why are they important?

To thrive as a Remote Scientific Reviewer, you need an advanced degree in a relevant scientific discipline, strong analytical abilities, and expertise in scientific writing and research evaluation. Familiarity with manuscript submission systems, reference management software, and peer review platforms is typically required. Attention to detail, impartial judgment, and clear communication are crucial soft skills for providing constructive feedback and maintaining objectivity. These skills ensure the integrity and quality of scientific publications, supporting the advancement of research within the field.

What is a remote scientific reviewer?

A Remote Scientific Reviewer is a professional who evaluates scientific manuscripts, research proposals, or grant applications from a remote location, typically for academic journals, funding agencies, or research organizations. Their main role is to assess the quality, accuracy, and originality of scientific work to ensure it meets established standards before publication or funding. Remote Scientific Reviewers use their subject matter expertise to provide constructive feedback and recommendations for improvement. This job allows for flexible work arrangements and often requires strong analytical, writing, and communication skills.
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Remote Scientific Reviewer jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

West Valley City, UT • Remote

$80 - $110/hr

Part-time

Posted 9 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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