Application Guide

How to Apply for (Senior) Climate Scientist (f/m/d)

at Climate Analytics Inc.

🏢 About Climate Analytics Inc.

Climate Analytics Inc. stands out as a science-based organization directly influencing global climate policy through tools like the Climate Action Tracker. Unlike purely academic institutions, they bridge cutting-edge research with actionable policy support, making them ideal for scientists wanting real-world impact. Their work in Germany positions them at the heart of European climate leadership and international negotiations.

About This Role

This role focuses on developing and maintaining analytical pipelines using reduced-complexity climate models to translate emissions data into physical climate indicators for the Climate Action Tracker. You'll directly contribute to global emission gap assessments and pathway extensions, making your work crucial for informing international climate policy and tracking progress toward Paris Agreement goals.

💡 A Day in the Life

A typical day involves coding in Python/R to maintain and improve analytical pipelines that process emissions data through reduced-complexity climate models, then analyzing outputs for the Climate Action Tracker's assessments. You'll collaborate with policy analysts to ensure scientific findings are accurately translated for climate policy briefings, while regularly updating model calibrations with the latest historical climate data.

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🎯 Who Climate Analytics Inc. Is Looking For

  • Holds a PhD with 4-6 years of post-qualification experience specifically in physical climate science, emulation, and scenario assessment (not just general environmental science)
  • Has hands-on experience with reduced-complexity climate models (like MAGICC, FAIR) and climate-model emulators for temperature assessment and deep mitigation pathways
  • Demonstrates strong programming skills (likely Python/R) for developing analytical pipelines and scientific tools mentioned in the job description
  • Shows proven ability to maintain state-of-the-art historical data and climate system calibrations for operational climate modeling systems

📝 Tips for Applying to Climate Analytics Inc.

1

Explicitly mention your experience with specific reduced-complexity climate models (e.g., MAGICC, FAIR) and climate-model emulators in your resume, not just 'climate modeling'

2

Highlight any previous work with emission pathways, gap assessments, or temperature methodologies that align with the Climate Action Tracker's focus

3

Provide concrete examples of analytical pipelines you've developed or maintained for translating emissions data into climate indicators

4

Demonstrate knowledge of Climate Analytics' existing tools and publications by referencing specific projects like the Climate Action Tracker in your application

5

Emphasize your ability to bridge scientific research with policy applications, as this is core to the company's mission

✉️ What to Emphasize in Your Cover Letter

["Your specific experience with reduced-complexity climate models and how you've used them for emission pathway assessments", 'Examples of developing or maintaining analytical pipelines for climate indicators (mention programming languages and tools used)', "How your research background aligns with Climate Analytics' mission of driving climate action through science and policy support", "Any previous work with global aggregation systems or gap assessments similar to the Climate Action Tracker's methodology"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Deep dive into the Climate Action Tracker's methodology papers and recent assessments to understand their current approaches
  • → Review Climate Analytics' publications on emission pathways and mitigation options, especially those using reduced-complexity models
  • → Study their policy engagement work, particularly regarding German/EU climate policy and international negotiations
  • → Examine their open-source tools or GitHub repositories if available to understand their technical stack

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk us through your experience with reduced-complexity climate models and how you've calibrated them for specific applications
2 How would you approach developing an analytical pipeline to translate new emissions scenarios into physical climate indicators?
3 What challenges have you faced in maintaining state-of-the-art historical data for climate models, and how did you address them?
4 How familiar are you with the Climate Action Tracker's current methodology, and what improvements might you suggest?
5 Describe a time you had to communicate complex climate science findings to policymakers or non-specialist audiences
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⚠️ Common Mistakes to Avoid

  • Applying with only general climate science experience without specific mention of reduced-complexity models or emulators
  • Focusing solely on academic research without demonstrating how your work connects to policy applications or real-world impact
  • Submitting generic applications that don't reference Climate Analytics' specific projects like the Climate Action Tracker

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Climate Analytics Inc.!

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