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Remote Environmental Science Gis Jobs in Michigan

Actalent

Distribution Designer

Big Rapids, MI · On-site +1

$22 - $27/hr

Experience with GIS tools or mapping systems used in utility distribution projects. * Exposure to ... Work Environment The work environment combines remote, office, and field settings to provide ...

DLA Piper

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

New

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... environments. * Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

ALTEN Technology USA

Senior Apriso Developer

Troy, MI · Remote

$52.25 - $67.50/hr

Ability to work independently in a remote environment Key Responsibilities: * Design, develop ... Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or related ...

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All JobsEnvironmental Science Gis JobsRemote Environmental Science Gis JobsRemote Environmental Science Gis Jobs in Michigan

Remote Environmental Science Gis information

What is a remote Environmental Science GIS specialist?

A Remote Environmental Science GIS specialist is a professional who uses Geographic Information Systems (GIS) technology to analyze and interpret environmental data, all while working from a remote location. Their work involves mapping, modeling, and assessing spatial information to address environmental issues such as land use, conservation, climate change, and resource management. They collaborate with scientists, researchers, and policymakers to provide insights that support environmental decision-making. Remote GIS specialists use specialized software to visualize data, create maps, and generate reports that help stakeholders understand complex environmental patterns and trends.

How do remote Environmental Science GIS professionals typically collaborate with field teams and other departments?

Remote Environmental Science GIS professionals frequently work closely with field teams, project managers, and environmental analysts through digital collaboration tools. Communication often involves sharing spatial data, maps, and reports via cloud-based platforms, participating in virtual meetings, and providing real-time GIS support for field operations. Building strong relationships with team members and maintaining clear, consistent communication is key to ensuring that data collected in the field is accurately integrated and analyzed. This collaborative approach helps drive informed decision-making for environmental assessments and project planning.

What are the key skills and qualifications needed to thrive as a remote Environmental Science GIS specialist, and why are they important?

To thrive as a Remote Environmental Science GIS specialist, you need expertise in environmental science, spatial analysis, and GIS principles, typically backed by a relevant degree or certification. Proficiency with GIS software such as ArcGIS or QGIS, remote sensing tools, and data management systems is essential. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate environmental analysis, effective project delivery, and informed decision-making in geographically dispersed settings.

What is the difference between Remote Environmental Science Gis vs Remote Environmental Technician?

AspectRemote Environmental Science GisRemote Environmental Technician
Required CredentialsBachelor's in Environmental Science, GIS certificationsAssociate's or Bachelor's in Environmental Science or related field
Work EnvironmentPrimarily remote, GIS software and data analysisRemote or fieldwork, data collection and site assessments
Employer & Industry UsageEnvironmental consulting firms, government agencies, GIS service providersEnvironmental consulting firms, government agencies, research organizations
Common Search & ComparisonYesYes

The main difference between Remote Environmental Science Gis and Remote Environmental Technician lies in their focus and skill set. Remote Environmental Science Gis roles emphasize GIS data analysis, mapping, and spatial data management, often requiring GIS certifications. In contrast, Remote Environmental Technicians focus on field data collection, site assessments, and environmental monitoring, with more emphasis on fieldwork skills. Both roles are integral to environmental projects but serve different functions within the industry.

What are popular job titles related to Remote Environmental Science Gis jobs in Michigan?

For Remote Environmental Science Gis jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Science Gis jobs in Michigan look for?

The top searched job categories for Remote Environmental Science Gis jobs in Michigan are:

What cities in Michigan are hiring for Remote Environmental Science Gis jobs?

Cities in Michigan with the most Remote Environmental Science Gis job openings:

Remote Environmental Science Gis jobs near you
Infographic showing various Remote Environmental Science Gis job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Warren, MI • Remote

$80 - $110/hr

Part-time

Posted 19 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.

Apply