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Remote Ocean Modeling Jobs in Washington (NOW HIRING)

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Remote Ocean Modeling information

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

To thrive as a Remote Ocean Modeler, you need a solid background in oceanography, mathematics, and computational modeling, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, MATLAB, or Fortran), high-performance computing, and specialized modeling software like ROMS or HYCOM is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills distinguish top performers in this role. These competencies are vital for accurately simulating ocean dynamics, interpreting complex data, and collaborating with multidisciplinary teams in remote settings.

What is remote ocean modeling?

Remote ocean modeling is the practice of using computer simulations and mathematical models to study and predict ocean behaviors—such as currents, temperature, and tides—from a location that is not physically at sea. Professionals in this field analyze data remotely, often leveraging satellite observations, remote sensors, and advanced software to create accurate models of oceanic processes. These models are crucial for understanding climate change, supporting marine navigation, managing fisheries, and forecasting weather events. Remote ocean modeling enables researchers and organizations to monitor and assess the health of the oceans without the need for constant on-site measurements.

What are some common challenges faced by remote ocean modelers, and how can they be addressed?

Remote ocean modelers often encounter challenges such as coordinating with multidisciplinary teams across different time zones, managing large datasets, and ensuring reliable computational resources from offsite locations. To address these, it's important to establish clear communication protocols, utilize collaborative platforms for code and data sharing, and have access to secure, high-performance computing environments. Proactively scheduling regular virtual meetings and leveraging cloud-based modeling tools can also help maintain workflow efficiency and team cohesion.

What is the difference between Remote Ocean Modeling vs Remote Marine Data Analyst?

AspectRemote Ocean ModelingRemote Marine Data Analyst
Required CredentialsDegree in Oceanography, Marine Science, or related fields; experience with modeling softwareDegree in Marine Science, Data Science, or related; proficiency in data analysis tools
Work EnvironmentResearch institutions, environmental agencies, or private companies; focus on modeling simulationsData-focused roles in research, consulting, or government agencies; emphasis on data interpretation
Industry UsageUsed for climate prediction, ocean circulation studies, and environmental impact assessmentsApplied in marine resource management, policy advising, and environmental monitoring

Remote Ocean Modeling involves creating simulations of ocean processes using specialized software, primarily for research and environmental applications. In contrast, Remote Marine Data Analysts focus on analyzing marine data sets to derive insights and support decision-making. Both roles require strong analytical skills and relevant scientific backgrounds but differ in their core activities and software tools used.

What are popular job titles related to Remote Ocean Modeling jobs in Washington?

For Remote Ocean Modeling jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Ocean Modeling jobs in Washington look for?

The top searched job categories for Remote Ocean Modeling jobs in Washington are:

What cities in Washington are hiring for Remote Ocean Modeling jobs?

Cities in Washington with the most Remote Ocean Modeling job openings:

Remote Ocean Modeling jobs near you
Infographic showing various Remote Ocean Modeling job openings in Washington as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Sea Ice Model Evaluations and Applications Scientist

Lynker Corporation

Suitland, MD • On-site, Remote

$78K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Overview
Lynker Corporation is seeking a Sea Ice Model Evaluation and Applications Scientist to support the Ocean and Tsunami Center (OTC) and the U.S. National Ice Center (USNIC), to support operational and research activities involving numerical sea ice forecast guidance. The Sea Ice Model Evaluation and Applications Scientist will evaluate guidance from systems such as the Global Forecast System (GFS), Global Ensemble Forecasting System (GEFS), Seasonal Forecast System (SFS), Real-Time Ocean Forecast System (RTOFS), and Navy forecast systems, with primary emphasis on improving the operational use of Arctic sea ice guidance for forecast Days 8-14 and exploratory application at other lead times.
Responsibilities
Duties of the Sea Ice Model Evaluation and Applications Scientist will include the following:
  • The Sea Ice Model Evaluation and Applications Scientist will perform the job duties independently and collaboratively, exercising initiative and applying innovative methods to evaluate and increase the operational use of numerical sea ice guidance.
  • The candidate will work with USNIC forecasters, NWS OTC scientists, model developers, and external collaborators to assess model performance, assess how IMS products could better support model initialization and evaluation, and demonstrate prototype extended-range sea ice guidance for the USNIC.
  • The candidate will also provide recommendations regarding the scientific and operational readiness of evaluated guidance for potential transition to operations.

Qualifications
The Sea Ice Model Evaluation and Applications Scientist selected should have the following:
  • Knowledge of numerical weather, ocean, sea ice, or coupled Earth-system modeling.
  • Experience in model testing, evaluation, or forecast verification.
  • Proficiency in Python for scientific data analysis.
  • Experience working with gridded environmental datasets and formats such as NetCDF or GRIB.
  • Experience working in a UNIX or Linux environment.
  • Ability to communicate technical findings to scientists, software developers, and operational analysts and forecasters.
  • The qualified candidate shall have a degree (e.g., BS, but advanced degree is preferred, e.g., MS or Ph.D.) from an accredited institution in Atmospheric Science, Oceanography, or other Geophysical Sciences, Engineering, Computer Sciences, or Mathematics and have at least 2 years of career experience in related areas.

The Ideal Sea Ice Model Evaluation and Applications Scientist will have the following:
  • Knowledge of sea ice analysis, forecasting, remote sensing, dynamics, or thermodynamics.
  • Experience with ensemble prediction or medium-range and subseasonal forecast evaluation.
  • Experience in workflow development, research-to-operations activities, or operational product development.
  • Experience using ArcGIS Pro, ArcPy, or developing geospatial tools and workflows within an Esri environment.

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

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