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Remote Environmental Engineering Jobs in Aiken, SC

micro1 AI

Bioinformatics Software Engineer

Augusta, GA · 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 ...

Center for New Beginnings, Inc.

BCBA

Evans, GA · On-site +1

$75K - $83K/yr

Remote work options when necessary * Tiered system of support from the Clinical Director based on ... BCBAs are responsible for the overall clinical oversight of client programming and the supervision ...

Macuch Steel Products

Project Manager

Augusta, GA · Remote

$65K - $110K/yr

Although this is a remote position, candidates should be within a 5-hour drive of Atlanta and be ... Coordinate project activities with customers, contractors, engineers, architects, suppliers, and ...

Fluor

SQS-Quality Specialist III (SRPPF)

Aiken, SC · On-site +1

$92K - $162K/yr

We are committed to fostering a welcoming and collaborative work environment that encourages big ... Potential for remote work. Ability to obtain and maintain a Q clearance. Glovebox experience is ...

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All JobsEnvironmental Engineering JobsRemote Environmental Engineering JobsRemote Environmental Engineering Jobs in Aiken, SC

Remote Environmental Engineering information

See Aiken, SC salary details

$26.4K

$50.9K

$86.8K

How much do remote environmental engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote environmental engineering in Aiken, SC is $50,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $60,400.00 per year, depending on experience, location, and employer.

What is remote environmental engineering?

A Remote Environmental Engineering job involves designing, assessing, and implementing environmental solutions while working from a remote location. Engineers in this role focus on sustainability, pollution control, environmental impact assessments, and regulatory compliance using digital tools and remote collaboration platforms. Common tasks include data analysis, modeling, and report writing, often in industries like energy, water resources, and waste management. Remote work allows professionals to contribute to environmental projects without being physically present at job sites.

What does a remote environmental engineer do?

In a remote environmental engineering role, you can expect to spend your days conducting data analysis, preparing technical reports, and developing environmental assessment or remediation plans using digital tools. Collaboration with team members, clients, and regulatory agencies often happens through video calls, emails, and project management platforms. You may also be responsible for modeling environmental impacts, reviewing regulatory compliance documents, and advising on sustainable design practices. While fieldwork may occasionally be required, most work is completed independently from your remote location. This structure allows for flexibility while maintaining a high level of technical and collaborative output.

What skills and qualifications are needed for remote environmental engineering?

To thrive as a Remote Environmental Engineer, you need a solid foundation in environmental science and engineering principles, typically with a bachelor's or master's degree in environmental engineering or a related field. Familiarity with tools such as GIS software, modeling applications (like AutoCAD or MATLAB), and regulatory frameworks (such as EPA standards) is often required, along with relevant certifications like Professional Engineer (PE) licensure. Strong communication, project management, and problem-solving skills are important, especially for collaborating with distributed teams and stakeholders virtually. These skills ensure effective analysis, compliance, and the successful execution of projects while working remotely.

Can remote environmental engineers work remotely?

Remote environmental engineers can work remotely, especially for tasks such as data analysis, report writing, and project planning that do not require on-site presence. However, some roles may require fieldwork, site inspections, or laboratory work, which necessitate physical presence. The feasibility depends on the specific job responsibilities and employer policies.

Is there a demand for remote environmental engineers?

Remote environmental engineering is in increasing demand as companies seek sustainable solutions and regulatory compliance. Professionals with skills in environmental assessment, data analysis, and environmental management tools are especially sought after, with many roles offering flexible or remote work options due to the nature of the field.

What are popular job titles related to Remote Environmental Engineering jobs in Aiken, SC?

For Remote Environmental Engineering jobs in Aiken, SC, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Engineering jobs in Aiken, SC look for?

The top searched job categories for Remote Environmental Engineering jobs in Aiken, SC are:

What cities near Aiken, SC are hiring for Remote Environmental Engineering jobs?

Cities near Aiken, SC with the most Remote Environmental Engineering job openings:

Remote Environmental Engineering jobs near you
Infographic showing various Remote Environmental Engineering job openings in Aiken, SC as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $50,890 per year, or $24.5 per hour.

Bioinformatics Software Engineer

micro1 AI

Augusta, GA • Remote

$80 - $110/hr

Part-time

Posted 18 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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