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What careers can you do with remote biological science?

Remote biological science careers include roles such as research scientist, bioinformatics analyst, scientific writer, and laboratory consultant. These positions often require skills in data analysis, scientific communication, and familiarity with laboratory or computational tools, and may involve working independently or collaborating with teams virtually.

What remote biological science jobs can I do with a biology degree?

Remote biological science jobs for biology degree holders include roles such as research scientist, laboratory technician, data analyst, scientific writer, and regulatory affairs specialist. These positions often require skills in data analysis, scientific software, and strong communication, with some roles needing certifications or specialized training. Many of these jobs involve working independently or collaborating virtually with research teams and clients.

What are the most commonly searched types of Biological Science jobs in Virginia?

The most popular types of Biological Science jobs in Virginia are:

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For Remote Biological Science jobs in Virginia, the most frequently searched job titles are:

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What cities in Virginia are hiring for Remote Biological Science jobs?

Cities in Virginia with the most Remote Biological Science job openings:

Remote Biological Science jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Norfolk, VA • 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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