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Remote Conservation Data Science Jobs in Tennessee

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

College Physics Tutor

Memphis, TN · Remote

$18 - $40/hr

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

Ability to explain Newton laws, conservation principles, electromagnetic theory, wave superposition ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

Life Sciences Tutor

Kingsport, TN · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

Showing results 41-60

Remote Conservation Data Science information

What is a remote conservation data scientist?

A Remote Conservation Data Scientist is a professional who analyzes environmental data to support conservation efforts, often working from a location outside of a traditional office or onsite fieldwork setting. They use data science techniques such as statistical analysis, machine learning, and geographic information systems (GIS) to interpret data related to biodiversity, ecosystems, wildlife populations, and climate change. Their work helps inform conservation policies, resource management, and strategies to protect natural habitats. Remote work in this field relies heavily on digital collaboration tools and access to large datasets. These scientists often partner with non-profits, government agencies, or research organizations to tackle global conservation challenges.

What are the key skills and qualifications needed to thrive as a remote conservation data scientist?

To thrive as a Remote Conservation Data Scientist, you need expertise in data analysis, ecological modeling, and a strong background in environmental science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python or R, GIS tools (such as ArcGIS or QGIS), and relevant data management systems is essential. Excellent problem-solving, communication, and collaboration skills are crucial for translating data insights into actionable conservation strategies with remote teams. These abilities enable effective data-driven decision-making and foster impactful conservation outcomes across diverse and distributed environments.

How does a remote conservation data scientist typically collaborate with field teams and stakeholders?

Remote conservation data scientists often rely on digital communication tools—such as video calls, shared databases, and project management platforms—to work closely with field researchers, conservation managers, and external partners. While they may not be physically present at field sites, they regularly interpret, analyze, and visualize data collected on the ground, providing actionable insights for ongoing projects. Regular virtual meetings are common for aligning on project goals, discussing data quality, and adapting analytical approaches based on field realities. This collaborative structure ensures that data-driven recommendations are both relevant and grounded in real-world conservation challenges.

What are popular job titles related to Remote Conservation Data Science jobs in Tennessee?

For Remote Conservation Data Science jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Conservation Data Science jobs in Tennessee look for?

The top searched job categories for Remote Conservation Data Science jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Conservation Data Science jobs?

Cities in Tennessee with the most Remote Conservation Data Science job openings:

Infographic showing various Remote Conservation Data Science job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Clarksville, TN • Remote

$70 - $90/hr

Part-time

Posted 19 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.