AI Data Assimilation Scientist

Lynker

AI and Data Assimilation Scientist developing AI-based Real-Time Mesoscale Analysis systems for NOAA's Environmental Modeling Center. Collaborating with scientists and stakeholders to enhance weather forecasting quality.

Posted 5/6/2026full-timeRemote • Maryland • 🇺🇸 United StatesJunior💰 $90,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflowUnix

About the role

Key responsibilities & impact

The AI and Data Assimilation Scientist will perform their job duties to a high standard, working both independently and collaboratively, focusing on scientific developments that advance the use of AI-DA techniques as an alternative to traditional ensemble/variational-based techniques.
The core responsibility is to lead the development, implementation, testing, and evaluation of an AI-based Real-Time Mesoscale Analysis (AI-RTMA) system in support of NOAA’s National Blend of Models (NBM).
The AI-RTMA system will generate high spatial and temporal resolution analyses of meteorological variables to reduce biases in the NBM fields.
Communicate findings with EMC scientists and external partners to inform the development of a scientifically robust and efficient AI-RTMA approach.
Collaborate with NOAA’s NBM team and key stakeholders to define product requirements for AI-RTMA, including domain configuration, grid structure, output variables, spatial and temporal resolution, and data formats suitable for operational evaluation and transition.
Design, implement, and maintain robust data pipelines to support AI-RTMA training, validation, testing, and evaluation.
Develop, train, rigorously test, and deploy a fully functional AI-RTMA system based on selected AI frameworks or architectures.
Implement cross-validation and other evaluation methodologies to quantify model performance and reliability during inference.

Requirements

What you’ll need

Experience developing, training and deploying AI-based systems applied to geophysical systems
Experience with common AI frameworks such as PyTorch, TensorFlow
Experience working with earth observation data, including conventional observations, satellite, radar
In-depth knowledge of data assimilation techniques (observation forward modeling, quality control, variational-based and/or ensemble methods)
Strong foundation in the physical, statistical and mathematical basis of geophysical modeling (atmospheric and/or environmental)
Excellent Python programming skills
Practical experience utilizing High Performance Computers (HPCs) and GPUs
Proven experience working in a UNIX environment with advanced scripting languages
Good communication skills, both oral and written, in English.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

AI-based systemsdata assimilation techniquesPython programmingAI frameworksPyTorchTensorFlowHigh Performance Computing (HPC)GPUsUNIX environmentscripting languages

Soft Skills

communication skillscollaborationindependent work