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Remote Gis Software Engineer Jobs in Tennessee (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Memphis, TN · Remote

$80 - $110/hr

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 ...

Lineage Logistics Holding, LLC

The Software Reliability Engineer (SRE) will play a critical role in ensuring that our Warehouse ... This is a REMOTE role. Please note: We are unable to sponsor work authorization now or in the ...

Trimble

SDET - Supplier Exchange

Knoxville, TN · On-site +1

$47.75 - $61.50/hr

TN, CO, US REMOTE Trimble has an opening for a Software Developer Engineer in Test (SDET) Level II position in Knoxville, TN. This is an exciting time to join as we grow and bring new features and ...

Ford Motor Company

Software Engineering Director

Memphis, TN · On-site +1

$223K/yr

... Software Engineering Director is a senior technical leadership role responsible for guiding the ... This role is posted as remote unless you reside within 50 miles of Dearborn, MI-in which case we ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

Pae

Structural Engineer - Remote/Hybrid

Oak Ridge, TN · On-site +1

Ability to learn new software as necessary for project success * Comfort working in fast-paced ... S. in Structural/Civil Engineering from an ABET accredited engineering school * A PE license with ...

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Remote Gis Software Engineer information

Is remote GIS software engineer still in demand?

Remote GIS software engineers are in high demand due to the increasing reliance on geographic information systems across industries such as urban planning, environmental management, and logistics. Skills in GIS software, programming, and data analysis are highly valued, and remote work options are expanding in this field.

What is a remote GIS software engineer?

A Remote GIS Software Engineer is a technology professional who designs, develops, and maintains Geographic Information Systems (GIS) software while working from a location outside a traditional office. They use programming languages and GIS platforms to create tools for mapping, spatial analysis, and data visualization. These engineers collaborate with teams, often across different locations, to deliver solutions for industries such as urban planning, environmental management, and logistics. Working remotely allows them to access and manage GIS data and applications virtually, using cloud-based tools and secure connections.

What are some common challenges faced by remote GIS software engineers and how can they be addressed?

Remote GIS Software Engineers often encounter challenges related to communication and collaboration, especially when working with distributed teams on complex geospatial projects. Misunderstandings can arise due to differences in time zones or lack of face-to-face interactions. To address these issues, it's helpful to establish clear communication channels, use collaborative development tools, and schedule regular meetings to synchronize progress. Additionally, staying updated with the latest GIS technologies and maintaining a proactive approach to problem-solving can help remote engineers remain effective and engaged.

What are the key skills and qualifications needed to thrive as a remote GIS software engineer?

To thrive as a Remote GIS Software Engineer, you need expertise in geographic information systems (GIS), programming languages such as Python or JavaScript, and a degree in computer science, geography, or a related field. Familiarity with GIS platforms like ArcGIS or QGIS, and experience with cloud services, version control (e.g., Git), and spatial databases are typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in a distributed work environment. These skills and qualities are crucial for developing reliable location-based solutions and collaborating efficiently with remote teams.

What is the difference between Remote Gis Software Engineer vs Remote GIS Analyst?

AspectRemote GIS Software EngineerRemote GIS Analyst
Required CredentialsBachelor's in Computer Science, GIS, or related field; programming skills; GIS software knowledgeBachelor's in Geography, GIS, or related field; GIS software proficiency; data analysis skills
Work EnvironmentDeveloping GIS applications, coding, software developmentAnalyzing spatial data, creating maps, reporting
Employer & Industry UsageTech companies, GIS service providers, government agenciesEnvironmental firms, urban planning, government agencies

Remote GIS Software Engineers focus on developing GIS applications and coding, while Remote GIS Analysts analyze spatial data and create maps. Both roles require GIS knowledge but differ in technical development versus data analysis tasks.

What are popular job titles related to Remote Gis Software Engineer jobs in Tennessee?

For Remote Gis Software Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Gis Software Engineer jobs in Tennessee look for?

The top searched job categories for Remote Gis Software Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Gis Software Engineer jobs?

Cities in Tennessee with the most Remote Gis Software Engineer job openings:

Remote Gis Software Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Memphis, TN • Remote

$80 - $110/hr

Part-time

Posted 13 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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