ZipRecruiter

Log In

1

Geospatial Analyst Climate Jobs in Massachusetts

Trilon

Environmental Planner

Boston, MA · Hybrid

$76K - $97K/yr

Perform environmental, spatial, and geospatial analyses using ArcGIS Pro and develop high-quality ... Contribute to the planning and conceptual design of climate resilience and nature-based solutions ...

Trilon Group

Environmental Planner

Boston, MA · On-site

$73K - $83K/yr

Perform environmental, spatial, and geospatial analyses using ArcGIS Pro and develop high-quality ... Contribute to the planning and conceptual design of climate resilience and nature-based solutions ...

Verisk

Senior Software Engineer

Boston, MA · On-site

$125K - $150K/yr

Experience with geospatial data, catastrophe modeling, or climate/weather datasets * Full-stack ... All members of the Verisk Analytics family of companies are equal opportunity employers. We ...

All JobsGeospatial Analyst Climate JobsGeospatial Analyst Climate Jobs in Massachusetts

Geospatial Analyst Climate information

What does a Geospatial Analyst Climate do?

A Geospatial Analyst Climate uses geographic information systems (GIS) and remote sensing tools to collect, analyze, and visualize data related to climate and environmental change. They interpret satellite imagery, climate models, and spatial datasets to identify trends, patterns, and impacts of climate phenomena such as temperature shifts, precipitation changes, and natural disasters. Their work supports climate research, policy making, and environmental management by providing actionable insights about the earth’s climate system.

What are the key skills and qualifications needed to thrive as a Geospatial Analyst Climate, and why are they important?

To thrive as a Geospatial Analyst Climate, you need expertise in GIS, remote sensing, spatial data analysis, and a background in environmental science or geography. Proficiency with tools like ArcGIS, QGIS, Python, and climate data modeling platforms, along with certifications in GIS or related fields, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and convey findings to diverse stakeholders. These competencies are vital for accurately assessing climate impacts, informing decision-making, and supporting effective environmental solutions.

What is the difference between Geospatial Analyst Climate vs Geospatial Analyst?

AspectGeospatial Analyst ClimateGeospatial Analyst
Required CredentialsBachelor's in Geography, GIS, Environmental Science; GIS certificationsBachelor's in Geography, GIS, Environmental Science; GIS certifications
Work EnvironmentEnvironmental agencies, climate research organizations, governmentVarious industries including urban planning, transportation, government
Employer & Industry UsageFocused on climate data analysis and environmental impactBroader GIS applications across multiple sectors
Search & Comparison IntentUnderstanding climate-specific GIS rolesGeneral GIS roles and career options

While both roles require similar educational backgrounds and certifications, Geospatial Analyst Climate specializes in climate data and environmental impact analysis, often within environmental agencies or research organizations. In contrast, Geospatial Analyst has a broader scope, applying GIS skills across various industries such as urban planning, transportation, and utilities.

How does a Geospatial Analyst specializing in climate typically collaborate with interdisciplinary teams?

Geospatial Analysts focused on climate often work closely with environmental scientists, data engineers, and policy experts to interpret and visualize spatial climate data. Collaboration usually involves regular meetings to align on project goals, sharing datasets, and integrating geospatial findings into broader climate models or policy recommendations. Strong communication skills are essential, as you'll need to explain technical geospatial concepts to non-specialists and contribute to multidisciplinary projects. This collaborative environment not only broadens your skill set but also offers opportunities for professional growth within environmental and research-driven organizations.
What are popular job titles related to Geospatial Analyst Climate jobs in Massachusetts? For Geospatial Analyst Climate jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Geospatial Analyst Climate jobs in Massachusetts look for? The top searched job categories for Geospatial Analyst Climate jobs in Massachusetts are:
What cities in Massachusetts are hiring for Geospatial Analyst Climate jobs? Cities in Massachusetts with the most Geospatial Analyst Climate job openings:
Geospatial Analyst Climate jobs near you
Infographic showing various Geospatial Analyst Climate job openings in Massachusetts as of July 2026, with employment types broken down into 67% Full Time, 6% Part Time, 3% Temporary, and 24% Contract. Highlights an 61% Physical, 6% Hybrid, and 33% Remote job distribution.
Postdoctoral Research Position in AI for Healthy Climate Adaptation

Postdoctoral Research Position in AI for Healthy Climate Adaptation

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Posted 16 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

81st of 612 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Research Position in AI for Healthy Climate Adaptation
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
Position Description
The National Studies on Air Pollution and Health (NSAPH) group, led by Prof. Francesca Dominici, invites applications for a full-time Postdoctoral Research Fellow to join a massive research effort developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team leverages nationwide Medicare claims data for older adults in the United States, linked with rich contextual information, including census, weather, and air pollution data. The overarching goal is to develop domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and "what-if" scenario analysis relevant to climate-related health risks and adaptation strategies.
Duties and Responsibilities
  • Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models.
  • Leverage model embeddings in causal inference pipelines for health effects and adaptation policy evaluation.
  • Work with large, high-dimensional datasets (Medicare claims, census, weather, pollution, and related data), including data preprocessing, integration, and harmonization.
  • Lead and contribute to manuscripts for high-impact journals and conferences (e.g., Nature-like journals or top CS conferences).
  • Present findings in internal meetings and at national/international conferences.
  • Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists.
  • Contribute to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts.

Basic Qualifications
  • PhD (completed or near completion) in one of the following or a closely related field:
    • Computer Science
    • Statistics / Biostatistics
    • Applied Mathematics
    • Data Science
  • Demonstrated expertise in modern machine learning, including at least one of the following:
    • Deep learning (e.g., transformers, sequence models, representation learning)
    • Spatiotemporal modeling or geospatial/temporal data analysis
    • Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms
  • Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative version control
  • Experience working with large datasets and cloud computing environments.
  • Solid background in statistical modeling and inference
  • Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage.

Additional Qualifications
Prior experience with one or more of:
  • Health claims data, EHRs, or other large-scale health/administrative datasets
  • Environmental, climate, or air pollution exposure data
  • Causal inference methods
  • Uncertainty quantification and model calibration for decision-making
  • Familiarity with interdisciplinary work at the interface of climate, environment, and health.

Special Instructions
Please submit the following materials:
  • Cover letter describing your research interests, relevant experience, and fit for this position.
  • Curriculum vitae including a list of publications.
  • One to three representative publications or preprints.
  • Names and contact information for 2-3 references.

Contact Information
Catherine Adcock
Contact Email
catherine_adcock@harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
biostatistics; artificial intelligence; climate science

What Harvard University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply