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Remote Climate Modeling Jobs in New York (NOW HIRING)

Senior Pricing Actuary

Hoboken, NJ · Remote

$170K - $230K/yr

... models that will support the business units' financial and competitive objectives, while ... While this is a hybrid role, remote flexibility considered for an exceptional candidate. POSITION ...

Risk Management Actuary

Hoboken, NJ · Remote

$150K - $200K/yr

While this is a hybrid role, remote flexibility considered for an exceptional candidate. POSITION ... Collaborating with Pricing, Reserving and Modeling Actuaries to ensure consistency of data ...

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Remote Climate Modeling information

What is remote climate modeling?

Remote climate modeling refers to the use of computer simulations and data analysis to study and predict climate patterns, typically from a remote location rather than a traditional office or laboratory. Professionals in this field use various climate models to understand atmospheric, oceanic, and land processes and assess future climate scenarios. This work often involves collaborating with scientists, analyzing large datasets, and using advanced software tools. Remote positions allow climate modelers to contribute to important environmental research while working from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote climate modeler?

To thrive as a Remote Climate Modeler, you need a strong background in atmospheric science, mathematics, and programming, often supported by an advanced degree in a related field. Familiarity with climate modeling software (such as WRF or CESM), statistical analysis tools, and proficiency in programming languages like Python or Fortran are typically required. Strong analytical thinking, problem-solving skills, and clear communication are vital for interpreting complex data and collaborating with multidisciplinary teams. These abilities ensure accurate climate predictions, effective research outcomes, and informed decision-making in environmental policy and planning.

What are common challenges faced when collaborating remotely as a climate modeler, and how can they be addressed?

Remote climate modelers often work with interdisciplinary teams spread across different time zones, which can make real-time communication and data sharing challenging. To overcome these obstacles, it's important to establish clear communication channels and regular virtual meetings to align on project goals and timelines. Leveraging collaborative tools for code versioning, data management, and documentation also helps ensure smooth teamwork. Staying proactive about updates and maintaining open lines of feedback can significantly improve coordination and project outcomes.

What are the most commonly searched types of Climate Modeling jobs in New York?

The most popular types of Climate Modeling jobs in New York are:

Infographic showing various Remote Climate Modeling job openings in New York as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Machine Learning Atmospheric Sciences Research Scientist

New York, NY • On-site, Remote

SAIC
IT Services • 10K+ employees

$80K - $120K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz


Job description

Job ID: 2616587

Location: New York, NY, US

Date Posted: 2026-09-09

Category: Engineering and Sciences

Subcategory: Research Scientist

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Interim_Secret

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: ORA_REMOTE


Description

SAIC has an opportunity for a Research Scientist to provide technical support services in applying Machine Learning to Navy Numerical Weather Prediction (NWP) development, and testing. Work shall be performed in accordance with all applicable DSRC usage policies, security requirements, and Government-furnished technical direction.

This position is a remote position.

Task 1: High-Resolution Machine Learning Weather Model Testing and NWP Reanalysis: Evaluate emerging high-resolution AI weather prediction systems (such as Atmo.ai) for Navy-relevant maritime environments, and develop a high-resolution, multi-year COAMPS-based regional weather reanalysis dataset over the Western Pacific to support model evaluation and scientific study.

Task 2: Navy Machine Learning Global Weather Model (Validation and Transition Effort): Fine-tune and transition a GraphCast-based global machine learning weather model into FNMOC operations, evaluate additional emerging ML weather models, and coordinate the development of a lightweight regional ML model to improve maritime decision-making and forecasting.

Task 3: Multiscale Predictability of Atmospheric Rivers and Air-Sea Interaction: Investigate the fundamental physical processes, air-sea fluxes, and boundary layer influences that affect the multiscale predictability of atmospheric rivers using advanced Navy prediction systems, machine learning models, and targeted field observations (e.g., dropsondes and buoys) to improve high-impact weather forecasting operational suitability of new observation sources.

Qualifications

Education and Experience: 

  • Bachelors and two (2) years or more experience; Masters and 0 years related experience; PhD
  • PhD in Atmospheric Sciences or a related scientific or engineering field of study
  • Shall have at a minimum of 3 years of demonstrated research experience in:
    • Applying machine learning models to probabilistic weather forecasting
    • Evaluating forecast skill and systematic biases in NWP reforecasts
    • Improving decision-making under Identified regime-dependent uncertainty
    • Evaluating AI climate emulators to reproduce and forecast stratosphere-troposphere coupling
    • Programming proficiency in Python, R, and SQL
    • Must have experience with a combination of AWS, Git/GitHub, High-Performance Computing (HPC), GPU-accelerated computing, ERA5/ERA-I, ECMWF and UFS reforecast, AI-based climate/weather emulators (GraphCast, ACE2)

Desired Experience:

  • Experience publishing peer-reviewed scientific literature, software documentation, guidebooks, and/or handbooks
  • High Performance Computing (HPC) experience

Clearance Requirement:

  • Candidate required a completed T3 Security Investigation for full access to government IT systems

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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