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Remote Entry Level Environmental Biology Jobs in Appleton, WI

micro1 AI

Bioinformatics Software Engineer

Green Bay, WI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

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All JobsEnvironmental Biology JobsRemote Entry Level Environmental Biology JobsRemote Entry Level Environmental Biology Jobs in Appleton, WI

Remote Entry Level Environmental Biology information

See Appleton, WI salary details

$36.1K

$87.2K

$134.7K

How much do remote entry level environmental biology jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote entry level environmental biology in Appleton, WI is $87,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a remote entry level environmental biologist?

A remote entry level environmental biologist is a professional who studies the environment and the relationships between living organisms and their surroundings, while working from a remote location rather than on-site. They typically assist with research, data analysis, and reporting on topics like ecosystems, pollution, and conservation. These roles often involve tasks such as collecting and interpreting environmental data, helping with environmental assessments, and supporting senior researchers, all using digital tools and communication platforms. Remote positions provide flexibility and may include opportunities to work with organizations globally. Entry-level roles usually require at least a bachelor's degree in environmental biology or a related field.

What are the key skills and qualifications needed to thrive as a remote entry level environmental biologist?

To thrive as a Remote Entry Level Environmental Biologist, you need a solid understanding of biology, ecology, and environmental science, typically supported by a bachelor’s degree in a related field. Familiarity with data analysis software (such as R or GIS), remote sensing tools, and environmental reporting systems is commonly required. Attention to detail, strong written communication, and self-motivation are crucial soft skills for success in remote and collaborative environments. These skills and qualifications ensure accurate data collection, effective teamwork, and meaningful contributions to environmental research and compliance projects.

What are some common challenges faced by remote entry level environmental biologists, and how can they be addressed?

Remote entry-level environmental biologists often face challenges such as limited fieldwork opportunities, communicating effectively with team members across distances, and staying engaged in collaborative projects. To address these issues, it's important to proactively seek virtual mentorship, participate in online training or webinars, and utilize digital collaboration tools like video conferencing and shared data platforms. Building strong communication habits and staying organized can also help you integrate smoothly into remote teams and contribute meaningfully to environmental research and analysis.

What is the difference between Remote Entry Level Environmental Biology vs Remote Entry Level Conservation Technician?

AspectRemote Entry Level Environmental BiologyRemote Entry Level Conservation Technician
Required CredentialsBachelor's in Environmental Science or Biology, basic field knowledgeBachelor's in Environmental Science, Biology, or related field, some field experience
Work EnvironmentPrimarily office-based, with some fieldworkMostly fieldwork, some office tasks, outdoor settings
Employer & Industry UsageEnvironmental consulting firms, research organizationsGovernment agencies, conservation groups, non-profits
Search & Comparison IntentUnderstanding entry-level remote environmental rolesEntry-level conservation work, field-based roles

Remote Entry Level Environmental Biology typically involves research, data analysis, and reporting in a mostly office setting, while Remote Entry Level Conservation Technicians focus on fieldwork, habitat monitoring, and conservation activities. Both roles require a background in environmental sciences but differ mainly in work environment and daily tasks.

What are popular job titles related to Remote Entry Level Environmental Biology jobs in Appleton, WI?

For Remote Entry Level Environmental Biology jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Environmental Biology jobs in Appleton, WI look for?

The top searched job categories for Remote Entry Level Environmental Biology jobs in Appleton, WI are:

Remote Entry Level Environmental Biology jobs near you
Infographic showing various Remote Entry Level Environmental Biology job openings in Appleton, WI as of September 2026, with employment types broken down into 64% Full Time, 26% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,233 per year, or $41.9 per hour.

Cheminformatics Specialist - Remote

Green Bay, WI • Remote

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

$80 - $110/hr

Part-time

Re-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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