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Remote Biology Science Editor Jobs in Minnesota (NOW HIRING)

University of Minnesota

Post-Doctoral Associate

Austin, MN · On-site +1

$63K - $77K/mo

Work location options include working fully remote, partially remote, or entirely in the office and ... biological sciences with applications in medicine and agriculture. A part of the University of ...

micro1 AI

Bioinformatics Software Engineer

Rochester, MN · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

University of Minnesota

Post-Doctoral Associate

Austin, MN · On-site +1

$62K - $72K/mo

Work location options include working fully remote, partially remote, or entirely in the office and ... biological sciences with applications in medicine and agriculture. A part of the University of ...

Danaher

Staff Global Regulatory GPO

Chaska, MN · On-site +1

... remote. In this role, you will have the opportunity to: * Develop, implement and execute global ... Bachelor's degree in applicable fields (such as biological sciences, biomedical engineering, or ...

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Remote Biology Science Editor information

What is a remote biology science editor?

A Remote Biology Science Editor reviews, edits, and refines scientific content related to biology to ensure accuracy, clarity, and adherence to publication standards. They work with researchers, publishers, or organizations to improve manuscripts, articles, and reports. This role requires expertise in biology, strong editing skills, and familiarity with scientific writing conventions. Since the position is remote, editors typically communicate with clients and authors online, using digital tools to manage submissions and revisions efficiently.

What are the key skills and qualifications needed to thrive as a remote biology science editor?

To thrive as a Remote Biology Science Editor, you need a strong background in biological sciences, excellent written communication skills, and proven experience in scientific editing or publishing. Familiarity with reference management software, style guides such as AMA or APA, and digital collaboration platforms (e.g., Google Workspace, Microsoft Teams) is highly beneficial. Exceptional attention to detail, time management, and the ability to provide clear, constructive feedback are crucial soft skills for this role. These competencies ensure the delivery of high-quality, accurate scientific content that meets publication standards and client deadlines in a remote work environment.

What are the main challenges faced by remote biology science editors, and how do they overcome them?

Remote Biology Science Editors often face challenges such as working across different time zones, ensuring consistent communication with authors and teams, and staying updated with evolving scientific guidelines and trends. To overcome these, editors rely heavily on strong organizational skills, digital communication tools, and proactive scheduling to manage workloads and meet deadlines efficiently. They also participate in continuous professional development and maintain active engagement with professional networks to stay current in the field. This adaptability not only helps maintain high editorial standards but also fosters professional growth in a dynamic, remote work setting.

What are popular job titles related to Remote Biology Science Editor jobs in Minnesota?

For Remote Biology Science Editor jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Biology Science Editor jobs in Minnesota look for?

The top searched job categories for Remote Biology Science Editor jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Biology Science Editor jobs?

Cities in Minnesota with the most Remote Biology Science Editor job openings:

Remote Biology Science Editor jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Minneapolis, MN • Remote

$80 - $110/hr

Part-time

Posted 26 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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