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Remote Taxonomy Analyst Jobs in Michigan (NOW HIRING)

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Remote Taxonomy Analyst information

What is a remote taxonomy analyst?

A Remote Taxonomy Analyst is a professional who classifies and organizes data, content, or products into structured categories, often working from a remote location. They design and maintain taxonomies, ontologies, or metadata frameworks to improve information retrieval, navigation, and search functionality for organizations. Remote Taxonomy Analysts collaborate with content creators, data managers, and IT teams to ensure consistency and accuracy in classification systems across digital platforms. Their work is crucial for businesses that manage large volumes of information and want to enhance user experience and data discoverability.

What skills and qualifications are needed to thrive as a remote taxonomy analyst?

To thrive as a Remote Taxonomy Analyst, you need a strong understanding of information architecture, metadata management, and classification systems, typically supported by a background in library science, data management, or a related field. Familiarity with taxonomy management tools, content management systems (CMS), and data modeling software is often required. Strong analytical thinking, attention to detail, and effective remote communication are essential soft skills for excelling in this role. These skills are important because they ensure accurate organization, retrieval, and consistency of information across digital platforms, directly impacting user experience and data integrity.

How does a remote taxonomy analyst collaborate with cross-functional teams, and what tools are commonly used?

As a Remote Taxonomy Analyst, you’ll frequently work with product managers, content strategists, developers, and UX designers to ensure accurate organization and categorization of data or content. Collaboration is often conducted through virtual meetings, shared documentation, and project management platforms. Common tools include Slack or Microsoft Teams for messaging, Zoom for video calls, and platforms like Jira or Trello for project tracking. Effective communication and clear documentation are crucial to ensure alignment across distributed teams.

What is the difference between Remote Taxonomy Analyst vs Remote Data Analyst?

AspectRemote Taxonomy AnalystRemote Data Analyst
Required CredentialsBachelor's in Information Science, Library Science, or related field; familiarity with taxonomy and classification systemsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborates with content teams, often in tech or publishing industries, focusing on organizing informationWorks with large datasets across various industries, focusing on data interpretation and reporting
Employer & Industry UsageUsed in tech, publishing, e-commerce for content organizationCommon in finance, healthcare, marketing for data-driven decision making

The Remote Taxonomy Analyst primarily focuses on organizing and classifying information using taxonomies, often within content-rich industries. In contrast, the Remote Data Analyst interprets data sets to inform business decisions. While both roles require analytical skills, their focus areas and tools differ significantly.

What are popular job titles related to Remote Taxonomy Analyst jobs in Michigan?

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What job categories do people searching Remote Taxonomy Analyst jobs in Michigan look for?

The top searched job categories for Remote Taxonomy Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Taxonomy Analyst jobs?

Cities in Michigan with the most Remote Taxonomy Analyst job openings:

Remote Taxonomy Analyst jobs near you

Biosecurity Threat Intelligence Analyst - Remote

Detroit, MI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$50 - $90/hr

Part-time

Re-posted 17 days ago

Job description

Role Title: Biosecurity & Synthetic Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Biosecurity & Synthetic Biology Experts to contribute advanced domain expertise to a critical customer's project involving biosecurity evaluation frameworks. 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. Develop a comprehensive taxonomy for biological misuse scenarios, incorporating current and emergent threats.
  2. Design safe and realistic evaluation scenarios to test biosafety measures and dual-use risk protocols.
  3. Establish robust severity ratings for biological risks, supporting nuanced threat modeling and mitigation strategies.
  4. Conduct rigorous false-negative reviews of draft benchmarks to ensure both protective and pragmatic outcomes.
  5. Advise on lab safety protocols, pathogen containment strategies, and dual-use governance best practices.
  6. Contribute written and verbal insights to documentation, scenario development, and cross-functional communication.
  7. Collaborate with multidisciplinary teams to contextualize biological misuse risks for public-health impact modeling.


Preferred Qualifications

  1. 5+ years of experience in biosecurity, biorisk management, synthetic biology, or a related field; 8–20 years preferred for senior contributors.
  2. Advanced degree, professional certification, or equivalent operational experience in biosecurity, synthetic biology, or public health.
  3. Deep familiarity with laboratory safety protocols, dual-use research governance, and biological threat modeling.
  4. Hands-on experience as a biorisk officer, synthetic biology researcher, public-health biodefense specialist, government biosecurity advisor, or lab director.
  5. Demonstrated ability to develop and review threat scenarios and risk taxonomies with high domain credibility.
  6. Exceptional written and verbal communication skills, with a commitment to precise and actionable input.
  7. Experience engaging with multidisciplinary and cross-sectoral teams in research, policy, or safety-critical environments.

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