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Scientific Models Lead (m/f/d)

At Klim, we’re creating a joint movement with farmers and businesses to make regenerative agriculture scalable and impactful. As a Berlin-based AgriTech start-up, we’re empowering farmers to restore soil, boost biodiversity, and capture carbon—all while earning revenue through our platform.

Backed by $22 million in Series A funding, we’re expanding globally, partnering with major food industry leaders like Nestlé and Kaufland to help them reduce emissions along their supply chains, while making them more resilient and profitable at the same time. Since 2020, we’ve supported 3,500 farmers, covering 700,000 hectares (5% of Germany’s farmland!).

If you’re passionate about building a sustainable food system and driving real climate impact, join us and help create a healthier planet!

Your mission:

Soil Organic Carbon (SOC) modelling is at the core of what we do - it drives our ability to calculate impact, determine payouts for farmers and partners, and ensure compliance. Your mission is to elevate the accuracy and reliability of our modelling, balancing the complexities of scientific precision with commercial and budgetary considerations. This role is critical to delivering impactful solutions for regenerative agriculture and scaling our organisation.

Your Responsibilities:

  • Take ownership of measuring and modelling climate and sustainability metrics and indicators:

  • Drive state-of-the-art SOC modelling and other critical metrics to support Klim’s programs.

  • Develop a comprehensive modelling strategy to evaluate both economic and ecological outcomes of whole-farm management practices.

  • Approach accuracy with a pragmatic and meticulous mindset, focusing on achieving results effectively.

  • Provide thought leadership for Klim’s scientific foundation, ensuring soil science perspectives align with other teams and uphold scientific integrity.

  • Oversee the effective and efficient collection of data essential for accurate modelling.

  • Lead the adaptation of models to account for diverse climate zones and geographies.

  • Manage and inspire a team of SOC modelling and data collection experts, driving innovation and excellence.

Your profile:

  • Deep understanding of soil science: ideally you have a PhD in soil science

  • Deep understanding of process-based agricultural models and crop models

  • Proven ability to manage a team

  • Experience with modelling and SOC measurement 

  • You bring a commercial mindset and a strong understanding of the dynamics of a startup environment.

Benefits:

  • Opportunity: Be part of our journey from the beginning, working closely with the leadership team to build a new company.

  • Impact: Make a daily contribution to combating climate change, promoting consumer education, and fostering fair conditions for climate-conscious farmers.

  • Autonomy: Take ownership of your projects and enjoy a high degree of creative freedom.

  • Competitive Package: Receive a competitive salary and participate in our VSIP program.

  • Flexible work model: At Klim, we foster a flexible, hybrid work approach and facilitate hybrid/remote work (within Germany). It would advantageous for this role if you live in Berlin or can be present in our office regularly.

  • Additional Benefits: Membership in the Urban Sports Club, company pension scheme, team lunches (if in Berlin), and regular team events.

At Klim, we believe that a thriving workplace is built on the diverse backgrounds, talents, and perspectives of our team. We grow stronger together by embracing and building on each individual’s unique strengths.

We are committed to fostering an inclusive environment where everyone feels valued and empowered to contribute their best. All hiring and personnel decisions are made solely based on qualifications, performance, and the needs of the company—ensuring fairness and equal opportunity for all.

If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. You might be the perfect fit for our team in ways you don’t yet realise!

What You Should Know About Scientific Models Lead (m/f/d), Klim GmbH

As the Scientific Models Lead (m/f/d) at Klim in Berlin, you're stepping into a pivotal role transforming regenerative agriculture into a scalable, impactful force. Klim is striving to restore soil, enhance biodiversity, and sequester carbon while empowering farmers to generate revenue through our innovative platform. With our significant backing of $22 million in Series A funding and strong partnerships with industry giants like Nestlé and Kaufland, we are on an exciting expansion journey. The heart of this role is Soil Organic Carbon (SOC) modelling, where you will elevate the accuracy and reliability of our metrics, balancing scientific precision with practical commercial needs. Your mission will involve driving state-of-the-art SOC modelling, developing a comprehensive strategy for both economic and ecological assessments of whole-farm management practices, and leading a talented team dedicated to innovation. You’ll work closely with multiple teams to ensure scientific integrity and oversee the important data collection processes. At Klim, we deeply value the input of our team members, believing that an inclusive environment boosts our collective strength. If you share our passion for a sustainable food system and real climate action, this is your chance to contribute meaningfully while enjoying autonomy and a flexible work model – all while based in vibrant Berlin!

Frequently Asked Questions (FAQs) for Scientific Models Lead (m/f/d) Role at Klim GmbH
What are the main responsibilities of a Scientific Models Lead at Klim?

The Scientific Models Lead at Klim is responsible for leading SOC modelling initiatives, developing strategies that assess economic and ecological outcomes in whole-farm management, and ensuring effective data collection. This role is critical in driving innovation and maintaining scientific integrity across various teams, making your contribution vital to our mission of regenerative agriculture.

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What qualifications are required for the Scientific Models Lead position at Klim?

To excel as a Scientific Models Lead at Klim, candidates generally need a PhD in soil science, along with a solid understanding of process-based agricultural models and crop modelling. Proven experience in managing a team and familiarity with SOC measurement are also important, as the role demands both technical expertise and leadership capabilities.

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How does the Scientific Models Lead contribute to Klim's mission of regenerative agriculture?

The Scientific Models Lead plays a fundamental role in advancing Klim's mission by enhancing the precision and reliability of SOC models, which directly informs our impact calculations and farmer payouts. By integrating scientific rigor with practical applications, you help shape sustainable practices that are essential for the future of agriculture.

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What benefits can employees expect as the Scientific Models Lead at Klim?

As a Scientific Models Lead at Klim, you can expect a competitive salary, options for flexible and hybrid working arrangements, and a chance to be part of a transformative journey in sustainable agriculture. Benefits also include membership in the Urban Sports Club, a company pension scheme, regular team lunches, and team events, all fostering a supportive and engaging workplace culture.

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What is the work culture like for a Scientific Models Lead at Klim?

At Klim, the work culture is dynamic, inclusive, and collaborative. As a Scientific Models Lead, you will enjoy a high degree of creative freedom while being empowered to take ownership of your projects. The company is committed to fostering diverse perspectives and ensuring that each individual is valued, making it an ideal environment for those passionate about sustainability.

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Common Interview Questions for Scientific Models Lead (m/f/d)
What experience do you have with Soil Organic Carbon modelling?

Highlight specific projects where you've applied SOC modelling, discussing the techniques used and the outcomes. Emphasize your understanding of how SOC impacts climate and agricultural practices.

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Can you describe a successful team project you've led?

Discuss your role, the objectives of the project, and how you motivated your team. Focus on the outcomes, emphasizing teamwork and effective communication.

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How do you ensure scientific integrity in your modelling work?

Talk about your approach to verifying data, collaboration with scientific peers, and how you incorporate peer-reviewed literature into your practices to maintain high standards.

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What is your strategy for balancing scientific precision with commercial considerations?

Explain how you prioritize key metrics that align with both scientific objectives and business needs, and share any examples of navigating conflicting demands effectively.

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How would you adapt models for diverse climate zones?

Share your understanding of how different climates affect agricultural practices, and discuss methodologies you would use to incorporate local data into your modelling efforts.

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What challenges have you faced in agricultural modelling, and how did you overcome them?

Provide specific examples of challenges, whether technical or organizational, along with the steps you took to resolve them, showcasing your problem-solving skills.

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How do you approach data collection for SOC models?

Discuss your techniques for ensuring accurate and efficient data collection, including any tools or methodologies you prefer, and how you validate data before use.

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Describe your experience with team management.

Emphasize your leadership style, how you assess team strengths, and your methods for fostering an inclusive environment where diverse perspectives are valued.

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Why do you want to work at Klim?

Connect your personal values with Klim's mission, speaking about your passion for sustainability and how Klim's objectives resonate with your career aspirations.

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What innovations do you envision in the field of soil science and modelling?

Share your insights on emerging trends or technologies in soil science and how they can be integrated into existing models to increase their effectiveness and relevance.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 24, 2025

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