{"schemaVersion":"jobsearcher.job.v1","id":"85d3ca8160b2778eb5a6bb44","url":"https://jobsearcher.com/jobs/85d3ca8160b2778eb5a6bb44","canonicalUrl":"https://jobsearcher.com/jobs/85d3ca8160b2778eb5a6bb44","title":"Lead Computational Climate Scientist","description":"Role: Lead Computational Climate Scientist\n\nAbout interos.ai: interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier — enabling faster, data-driven threat mitigation and resilience at global scale.\nAs the first and only automated supplier intelligence platform, interos.ai gives organizations real-time visibility into extended supply chains to protect against regulatory exposure, unethical labor, cyber threats, and systemic vulnerabilities — all under a single pane of glass.\nWith customers across the commercial, government, and public sectors — including Global Fortune 500 enterprises and members of the Five Eyes nations — interos.ai offers a unique opportunity to help shape an early, fast-growing market that’s transforming global security and economic resilience.\n\nThe Opportunity: Are you constantly exploring more data-driven and rigorous approaches for analyzing global climatological, societal, technological, and economic disruptions? Do you find yourself transforming complex catastrophic risk models into insights that inform decisions across public and private sector environments? Are you looking to apply these capabilities in a high-growth, early-stage company focused on supply chain risk?\nIf so, Interos is seeking a Lead Computational Climate Scientist to drive the next evolution of our climate- and disaster-focused modeling capabilities.\nIn this role, you will serve as the core scientific lead for catastrophic risk modeling — overseeing theory- and data-driven quantitative models that assess the impacts of climate change, natural disasters, and industrial and technological disruptions on global supply chains. You will bring both scientific rigor and product-minded execution — building computational models, validating diverse academic and industry frameworks, and assessing applicability to real-world use cases.\nAs part of Interos’ Methodology organization, you will guide model-driven projects from research through full productization. You will collaborate closely with engineering and product teams, operationalize complex models for private- and public-sector customers, and help shape how the Interos platform evaluates climate-driven supply chain risk.\n\nWhat You Will Do:\nResearch, develop, and implement computational catastrophic risk models focused on climate change, natural disasters, and technological and industrial disruptions\nDrive geospatial modeling efforts at the grid-cell level and coordinate with product and engineering on geospatial workflows and solutions\nEvaluate and validate diverse academic and industry models and assess applicability to product needs and customer use cases\nTranslate theoretical research into practical, scalable models applied to global supply chain risk\nCollaborate across Methodology, Engineering, and Product to take models from concept through to full productization\nProuce research papers, white papers, blogs, and external presentations\nStay current on global events, emerging datasets, and methodological advances related to climatology, catastrophic risk, and socio-technical system disruptions\nCommunicate complex modeling components and frameworks to both technical and non-technical audiences in fast-paced, multi-disciplinary environments\n\nWhat You Bring:\nPhD in atmospheric and oceanic science, physics, social or behavioral science, or related quantitative field; or 10+ years of hands-on experience modeling and operationalizing climatological or natural disaster risk models\nExperience working within multi-disciplinary teams and managing multiple concurrent projects and priorities\nDemonstrated curiosity and persistence in pursuing better data, improved methods, and novel analytical solutions\nStrong interest in applying scientific modeling to complex physical and socio-technical systems, with an emphasis on climate change\nBackground supporting product- and customer-focused research and feature development\nProven open-source research skills and experience supporting product development pipelines\nFamiliarity with Python, Jira, Git, and related analytical or engineering collaboration tools\nEmbodies a hungry, humble, and smart mindset: always learning, collaborating, and executing\nAbility to thrive in fast-paced, cross-disciplinary environments with shifting priorities\nBonus Points For:\nExperience operationalizing academic or technical models within private-sector or applied environments\nAbility to optimize resources and execute under tight deadlines\nAbility to communicate effectively with diverse internal and external audiences, including technical experts, customers, and business stakeholders\nExperience applying quantitative climatological models to supply chain risk at both local and global scales\nStrong verbal and written communication skills and comfort multi-tasking in dynamic environments\nWhat We Offer:\nComprehensive health, dental & vision insurance\n401(k) with employer match\nFlexible Time Off (FTO) + 10 paid holidays\nCareer growth opportunities and the ability to help shape an early, fast-growing market\nEmployee referral bonuses and recognition programs\nA flexible, remote-first work environment that empowers you to perform at your best — wherever you are\nAn incredible culture built on trust, accountability, and collaboration across time zones and teams\nCompensation:\nBase Salary Range: $150,000 – $180,000 USD (depending on experience and location)\nVariable Compensation: Performance-based annual bonus\nEquity: Stock options included as part of the total compensation package\n\nWe believe in rewarding great work with competitive, transparent compensation. Final offers are based on skills, experience, and geographic location.\n\nWork Environment, Location & Travel:\nThis is a remote-first role open to candidates legally authorized to work in the United States. This position may require travel.\n\nEqual Opportunity Employer\ninteros.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.\n\nAccessibility & Accommodations\nWe are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai","company":"Interos","rawCompany":"interos","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:46:34.244Z","occupations":[{"code":"19-2021.00","title":"Atmospheric and Space Scientists","slug":"atmospheric-and-space-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Computational Climate Scientist","description":"Role: Lead Computational Climate Scientist\n\nAbout interos.ai: interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier — enabling faster, data-driven threat mitigation and resilience at global scale.\nAs the first and only automated supplier intelligence platform, interos.ai gives organizations real-time visibility into extended supply chains to protect against regulatory exposure, unethical labor, cyber threats, and systemic vulnerabilities — all under a single pane of glass.\nWith customers across the commercial, government, and public sectors — including Global Fortune 500 enterprises and members of the Five Eyes nations — interos.ai offers a unique opportunity to help shape an early, fast-growing market that’s transforming global security and economic resilience.\n\nThe Opportunity: Are you constantly exploring more data-driven and rigorous approaches for analyzing global climatological, societal, technological, and economic disruptions? Do you find yourself transforming complex catastrophic risk models into insights that inform decisions across public and private sector environments? Are you looking to apply these capabilities in a high-growth, early-stage company focused on supply chain risk?\nIf so, Interos is seeking a Lead Computational Climate Scientist to drive the next evolution of our climate- and disaster-focused modeling capabilities.\nIn this role, you will serve as the core scientific lead for catastrophic risk modeling — overseeing theory- and data-driven quantitative models that assess the impacts of climate change, natural disasters, and industrial and technological disruptions on global supply chains. You will bring both scientific rigor and product-minded execution — building computational models, validating diverse academic and industry frameworks, and assessing applicability to real-world use cases.\nAs part of Interos’ Methodology organization, you will guide model-driven projects from research through full productization. You will collaborate closely with engineering and product teams, operationalize complex models for private- and public-sector customers, and help shape how the Interos platform evaluates climate-driven supply chain risk.\n\nWhat You Will Do:\nResearch, develop, and implement computational catastrophic risk models focused on climate change, natural disasters, and technological and industrial disruptions\nDrive geospatial modeling efforts at the grid-cell level and coordinate with product and engineering on geospatial workflows and solutions\nEvaluate and validate diverse academic and industry models and assess applicability to product needs and customer use cases\nTranslate theoretical research into practical, scalable models applied to global supply chain risk\nCollaborate across Methodology, Engineering, and Product to take models from concept through to full productization\nProuce research papers, white papers, blogs, and external presentations\nStay current on global events, emerging datasets, and methodological advances related to climatology, catastrophic risk, and socio-technical system disruptions\nCommunicate complex modeling components and frameworks to both technical and non-technical audiences in fast-paced, multi-disciplinary environments\n\nWhat You Bring:\nPhD in atmospheric and oceanic science, physics, social or behavioral science, or related quantitative field; or 10+ years of hands-on experience modeling and operationalizing climatological or natural disaster risk models\nExperience working within multi-disciplinary teams and managing multiple concurrent projects and priorities\nDemonstrated curiosity and persistence in pursuing better data, improved methods, and novel analytical solutions\nStrong interest in applying scientific modeling to complex physical and socio-technical systems, with an emphasis on climate change\nBackground supporting product- and customer-focused research and feature development\nProven open-source research skills and experience supporting product development pipelines\nFamiliarity with Python, Jira, Git, and related analytical or engineering collaboration tools\nEmbodies a hungry, humble, and smart mindset: always learning, collaborating, and executing\nAbility to thrive in fast-paced, cross-disciplinary environments with shifting priorities\nBonus Points For:\nExperience operationalizing academic or technical models within private-sector or applied environments\nAbility to optimize resources and execute under tight deadlines\nAbility to communicate effectively with diverse internal and external audiences, including technical experts, customers, and business stakeholders\nExperience applying quantitative climatological models to supply chain risk at both local and global scales\nStrong verbal and written communication skills and comfort multi-tasking in dynamic environments\nWhat We Offer:\nComprehensive health, dental & vision insurance\n401(k) with employer match\nFlexible Time Off (FTO) + 10 paid holidays\nCareer growth opportunities and the ability to help shape an early, fast-growing market\nEmployee referral bonuses and recognition programs\nA flexible, remote-first work environment that empowers you to perform at your best — wherever you are\nAn incredible culture built on trust, accountability, and collaboration across time zones and teams\nCompensation:\nBase Salary Range: $150,000 – $180,000 USD (depending on experience and location)\nVariable Compensation: Performance-based annual bonus\nEquity: Stock options included as part of the total compensation package\n\nWe believe in rewarding great work with competitive, transparent compensation. Final offers are based on skills, experience, and geographic location.\n\nWork Environment, Location & Travel:\nThis is a remote-first role open to candidates legally authorized to work in the United States. This position may require travel.\n\nEqual Opportunity Employer\ninteros.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.\n\nAccessibility & Accommodations\nWe are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai","datePosted":"2026-04-14T10:46:34.244Z","dateModified":"2026-04-14T10:46:34.244Z","hiringOrganization":{"@type":"Organization","name":"Interos","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"85d3ca8160b2778eb5a6bb44"},"url":"https://jobsearcher.com/jobs/85d3ca8160b2778eb5a6bb44"}}