About the Role Our client, a leading environmental science research organization dedicated to understanding and mitigating climate change, is seeking an exceptional Senior Computational Scientist to join their remote-first Scientific Research & Development team. This role is crucial for developing and refining complex climate models, analyzing vast environmental datasets, and contributing to impactful policy recommendations. As a fully remote employee, you will have the flexibility to work from anywhere within the US while collaborating with a globally distributed team of leading climate scientists and researchers. You will be instrumental in advancing our predictive capabilities and understanding of global climate systems. This is a unique opportunity to apply your computational expertise to one of the most pressing challenges facing humanity, working within a mission-driven organization committed to scientific rigor and innovation. We provide a supportive and collaborative virtual environment that fosters professional growth and cutting-edge research. Your work will directly inform global strategies for environmental sustainability. Key Responsibilities Develop, implement, and validate advanced computational models for simulating climate systems and predicting future climate scenarios. Analyze large-scale environmental and climate datasets using sophisticated statistical and machine learning techniques. Optimize model performance and efficiency for high-performance computing (HPC) environments. Collaborate with climate scientists, atmospheric physicists, and oceanographers to integrate diverse scientific knowledge into models. Contribute to the development of new algorithms and computational approaches for climate research. Effectively communicate complex modeling results and scientific insights through reports, presentations, and publications. Mentor junior computational scientists and contribute to knowledge sharing within the team. Ensure data integrity, reproducibility, and adherence to best practices in scientific computing. Stay current with the latest advancements in climate science, computational modeling, and data analysis techniques. Requirements Ph.D. in Climate Science, Atmospheric Physics, Oceanography, Computer Science, Applied Mathematics, or a related quantitative field. Minimum of 6 years of post-doctoral or relevant industry experience in computational modeling and scientific data analysis. Expertise in programming languages commonly used in scientific computing, such as Python, Fortran, or C++. Strong experience with numerical modeling techniques and high-performance computing (HPC) environments. Proficiency in data analysis and visualization tools (e.g., NumPy, SciPy, Matplotlib, R). Deep understanding of climate system dynamics and atmospheric/oceanic processes. Experience with version control systems (e.g., Git) and collaborative software development practices. Excellent analytical, problem-solving, and critical thinking skills. Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly. Demonstrated ability to work independently and effectively in a remote, collaborative team setting. Benefits Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance coverage. Generous home office setup stipend and ongoing remote work support. Unlimited paid time off and flexible working hours. Retirement savings plan with company contributions. Opportunities for professional development, including conferences and training. The chance to contribute meaningfully to critical environmental research from anywhere in the US.