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Remote Climate Analytics Jobs in Indiana (NOW HIRING)

Remote Climate Analytics information

How does a Remote Climate Analytics professional typically collaborate with cross-functional teams?

Remote Climate Analytics professionals often work closely with data scientists, environmental researchers, and policy experts to interpret climate data and generate actionable insights. Collaboration is typically facilitated through virtual meetings, shared data platforms, and project management tools, ensuring seamless communication across different time zones. Regular updates and presentations are common, allowing the team to align on research goals and adapt to emerging climate trends or data challenges. This collaborative structure helps ensure that analytics outputs are both scientifically robust and aligned with stakeholder needs.

What are the key skills and qualifications needed to thrive as a Remote Climate Analytics professional, and why are they important?

To thrive as a Remote Climate Analytics professional, you need a strong background in environmental science, data analysis, and statistics, often supported by a relevant degree or specialized training. Familiarity with climate modeling software, geographic information systems (GIS), programming languages like Python or R, and data visualization tools is typically required. Excellent problem-solving, communication, and critical thinking skills help you interpret complex data and collaborate with stakeholders. These competencies are essential for producing actionable insights that inform climate policy and drive effective environmental solutions.

What is a remote climate analytics job?

A remote climate analytics job involves analyzing climate data and trends to inform policy, research, or business decisions, all while working from a location outside of a traditional office. Professionals in this field use tools like statistical software, climate models, and geographic information systems to interpret environmental data. They may work for government agencies, private companies, or research institutions, collaborating virtually with other team members. This role is ideal for individuals with strong analytical skills and a background in environmental science, data science, or related fields.

What is the difference between Remote Climate Analytics vs Remote Environmental Data Analyst?

AspectRemote Climate AnalyticsRemote Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Climate Science, or related fields; often requires data analysis certificationsBachelor's in Environmental Science, Data Analysis, or related fields; may include certifications in GIS or data tools
Work EnvironmentRemote, often collaborative with climate research teams or NGOsRemote, typically working with environmental agencies or consulting firms
Employer & Industry UsageResearch institutions, climate organizations, NGOsGovernment agencies, environmental consultancies, research firms
Common Search & ComparisonYesYes

Remote Climate Analytics focuses on analyzing climate data and modeling climate change impacts, often working with specialized climate datasets. Remote Environmental Data Analysts handle broader environmental data, including pollution, conservation, and resource management. While both roles require data analysis skills and environmental knowledge, Remote Climate Analytics emphasizes climate-specific expertise, making it distinct in scope and focus.

What are the most commonly searched types of Climate Analytics jobs in Indiana? The most popular types of Climate Analytics jobs in Indiana are:
What cities in Indiana are hiring for Remote Climate Analytics jobs? Cities in Indiana with the most Remote Climate Analytics job openings:
Infographic showing various Remote Climate Analytics job openings in Indiana as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Postdoctoral Research Fellow

Postdoctoral Research Fellow

University of Notre Dame

Notre Dame, IN • On-site, Remote

Full-time

Posted 12 days ago


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7.4

Company rating: 7.4 out of 10

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Job description

Company Description

The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person—mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University’s mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

This posting is for visibility purposes only. To formally apply for this position, submit your materials here by Jul 27, 2026:

The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). This fellow will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.

The research fellow will contribute to a new research project that is creating a Pan-Amazon Evidence and Action Hub for socio-economic and ecological flourishing. The hub will systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon region. Fellows will integrate and harmonize fragmented data from diverse sources into a coherent, usable form to support novel analyses that advance key sustainability goals. The work of the Hub will generate findings to support the design and adoption of interventions that respond to changing needs of the region and its people around climate change, energy, mining, soil and water contamination, food production and livelihoods.

The postdoctoral fellow will join a cohort that functions as a central research skills hub, supporting and elevating the sustainability-related research efforts of faculty and students across Notre Dame. The fellows will help advance impactful, solution-oriented sustainability research that engages ecological, social, economic, and ethical dimensions in an integrated manner.

The postdoctoral fellow will assume the following key responsibilities:

  • Collaborate with faculty to design, implement, and support sustainability-related research projects requiring advanced data analytics.
  • Develop and maintain a centralized platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial data.
  • Design and implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with documented lineage and quality metrics.
  • Build tools and interfaces (APIs, catalogs, dashboards, or reproducible workflows) that make Hub data discoverable and usable by faculty, students, and partner organizations with varying technical capacity.
  • Explore applications of AI methods, including large language models and natural language processing, for extracting structured information from unstructured sources(e.g. reports, policy documents, gray literature, or citizen science observations),
  • Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights.
  • Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
  • Engage in collaborative grant writing and proposal development to sustain and expand the cohort’s research initiatives.

This search is conducted with leadership from Notre Dame’s Just Transformations to Sustainability Initiative and Data, AI, and Computing Initiative, both significant investments from the Provost’s Office. The Just Transformations to Sustainability Initiative is Notre Dame’s University-wide effort to build a sustainable future where people and nature flourish together. The Data, AI, and Computing Initiative’s core aim is to advance purposeful data, AI, and computing — excelling in foundational research while catalyzing interdisciplinary collaboration and real-world translation to address pressing societal challenges.

This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.

Qualifications
  • Ph.D. (in hand by the starting date) in Data Science, Computer Science, Statistics, Geography, Environmental Science, or a related field with a strong computational focus. Applicants with interdisciplinary degrees are welcome.
  • Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one-off analysis scripts.
  • Demonstrated experience harmonizing heterogeneous data sources: reconciling inconsistent schemas, units, geographies, and vintages across datasets such as remote sensing products, surveys, censuses, and administrative records, and documenting those decisions in a reproducible way.
  • Expertise in geospatial data, including working across raster and vector formats, coordinate reference systems, and spatial aggregation or interpolation across mismatched administrative and ecological units.
  • An interest or experience in using machine learning or AI tools with environmental or socioeconomic data
  • Excellent communication skills and the ability to translate technical infrastructure decisions for collaborators from a wide range of disciplines.

Additional Information

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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