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Gis Python Developer Remote Jobs in Springfield, MA

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Showing results 21-34

Gis Python Developer Remote information

See Springfield, MA salary details

$13

$58

$85

How much do gis python developer remote jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for gis python developer remote in Springfield, MA is $58.42, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.35 per hour, depending on experience, location, and employer.

What is a GIS Python developer?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

What are the key skills and qualifications needed to thrive as a GIS Python developer?

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

What is the difference between Gis Python Developer Remote vs GIS Analyst?

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are some common challenges faced by remote GIS Python developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.
What are popular job titles related to Gis Python Developer Remote jobs in Springfield, MA? For Gis Python Developer Remote jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Gis Python Developer Remote jobs in Springfield, MA look for? The top searched job categories for Gis Python Developer Remote jobs in Springfield, MA are:
Infographic showing various Gis Python Developer Remote job openings in Springfield, MA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 9% Part Time, and 7% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,506 per year, or $58.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Hartford, CT • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.