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Remote Field Research Biologist Jobs in Virginia

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Remote Field Research Biologist information

What is a remote field research biologist?

Remote Field Research Biologists are scientists who conduct biological research in outdoor environments, often in remote or hard-to-reach locations. Their work typically involves collecting data on wildlife, plants, ecosystems, or environmental conditions to support conservation, ecological studies, or environmental monitoring. They use various tools and technologies, such as GPS, drones, and remote sensors, to gather data and may spend extended periods working away from laboratories or offices. Many of these professionals work for universities, government agencies, environmental organizations, or private research firms. The remote aspect of their job allows them to study undisturbed habitats and contribute valuable insights into biodiversity and ecosystem health.

How do remote field research biologists typically collaborate with other team members despite working in isolated or remote locations?

Remote Field Research Biologists often rely on digital communication tools such as satellite phones, email, and specialized software to stay connected with project teams, supervisors, and data analysts. Regular virtual meetings are scheduled to discuss findings, synchronize data collection protocols, and address any fieldwork challenges. Collaboration is essential for ensuring data quality, coordinating logistics, and making real-time adjustments to research plans. Despite the physical distance, clear and consistent communication is key to successful teamwork in this role.

What are the key skills and qualifications needed to thrive as a remote field research biologist, and why are they important?

To thrive as a Remote Field Research Biologist, you need a strong background in biology or ecology, field research experience, and at least a bachelor's degree in a related field. Familiarity with GPS mapping tools, data collection software, and sometimes certifications in wildlife handling or remote first aid are commonly required. Excellent problem-solving, adaptability, and strong communication skills help you succeed in unpredictable environments and collaborate with diverse teams. These skills and qualifications are crucial for conducting accurate research, ensuring safety, and effectively sharing findings from remote locations.

What is the difference between Remote Field Research Biologist vs Field Research Biologist?

AspectRemote Field Research BiologistField Research Biologist
Work EnvironmentPrimarily remote, often in the field or laboratory settingsPrimarily on-site in the field or laboratory locations
Required CredentialsBachelor’s or higher in biology, ecology, or related fields; fieldwork experienceBachelor’s or higher in biology, ecology, or related fields; fieldwork experience
Industry UsageUsed in environmental, conservation, and research organizations with remote data collectionCommon in research institutions, government agencies, and environmental firms

Both roles require similar educational backgrounds and fieldwork skills, but the Remote Field Research Biologist emphasizes remote data collection and analysis, while the Field Research Biologist involves on-site fieldwork. The remote role offers flexibility in location, whereas the on-site role involves direct field presence.

What are the most commonly searched types of Field Research Biologist jobs in Virginia?

The most popular types of Field Research Biologist jobs in Virginia are:

What are popular job titles related to Remote Field Research Biologist jobs in Virginia?

For Remote Field Research Biologist jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Field Research Biologist jobs in Virginia look for?

The top searched job categories for Remote Field Research Biologist jobs in Virginia are:

What cities in Virginia are hiring for Remote Field Research Biologist jobs?

Cities in Virginia with the most Remote Field Research Biologist job openings:

Remote Field Research Biologist jobs near you

Computational Biologist - AI Reviewer

micro1 AI

Chesapeake, VA • On-site, Remote

$90 - $120/hr

Part-time

Posted 23 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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