
501 - 1000 employees
Founded 2007
💼 Consulting
🔬 Science
Consulting • Science • Engineering
Lynker is a premier science, engineering, and technology company that specializes in providing innovative solutions in weather and climate science, marine/ocean science and engineering, and space weather and space climate. The company partners with governments, communities, and industries to deliver impactful services that address global environmental security and economic prosperity. By leveraging a team of skilled scientists, engineers, and educators, Lynker tackles some of the nation’s most important missions and challenges, while also focusing on training, communications, and outreach for effective environmental policy and compliance.
🔥 1 hour ago
🦀 Maryland – Remote
💵 $75k - $120k / year
⏰ Full Time
🟠 Senior
🔴 Lead
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501 - 1000 employees
Founded 2007
💼 Consulting
🔬 Science
Consulting • Science • Engineering
Lynker is a premier science, engineering, and technology company that specializes in providing innovative solutions in weather and climate science, marine/ocean science and engineering, and space weather and space climate. The company partners with governments, communities, and industries to deliver impactful services that address global environmental security and economic prosperity. By leveraging a team of skilled scientists, engineers, and educators, Lynker tackles some of the nation’s most important missions and challenges, while also focusing on training, communications, and outreach for effective environmental policy and compliance.
• Investigate and apply object-oriented verification methods such as METplus MODE to evaluate high-resolution model performance • Improve spatial skill assessment • Work with developers on RRFS, REFS, and WoFS to create customized, automated verification workflows for model development • Act as a technical liaison between WPC and EVU/OMD on NBM and NDFD verification topics, focusing on QPF • Develop advanced metrics and methods for high-resolution AI/ML model verification and evaluation, including HRRRCast • Support and contribute verification metrics, code enhancements, and graphics capabilities to the community-based METplus framework • Support the Model Evaluation Group (MEG) • Interact with NWS/NCEP domain scientists • Adhere to NOAA/NWS IT policies • Present findings regularly at technical and status meetings
• An M.S. (or equivalent experience) in atmospheric sciences, meteorology, scientific programming, mathematics, or a related physical science with 7+ years of experience in numerical model analysis, evaluation, or verification • Demonstrated experience using object-oriented verification techniques such as METplus MODE • Experience evaluating high-resolution numerical weather prediction (NWP) models • Extensive experience with Python in a high-performance computing (HPC) UNIX environment • Experience calculating verification metrics and generating custom visual plots • Proficiency using GitHub to manage software repositories, code versions, and collaborative projects • Experience with meteorological data formats including GRIB2, NetCDF, HDF, and BUFR • Experience with model verification software systems, specifically METplus • Ability to communicate technical results effectively across interagency teams, developers, and operational forecasters • Knowledge of web page technology and languages such as HTML and JavaScript • Ability to analyze, plot, and verify model output independently • Ability to work independently and collaboratively on complex problems • Experience developing customized verification workflows or evaluation tools for convective-scale/rapid-refresh models and ensembles is ideal • Familiarity with evaluating AI/ML weather models or developing metrics for machine learning forecast systems is ideal • Experience in QPF verification and operational datasets/systems such as NBM or NDFD is ideal • Knowledge of Fortran, HTML, JavaScript, GrADS, GEMPAK, or MATLAB is ideal • Familiarity with National Weather Service operational centers, OMD workflows, or operational forecasting environments is ideal • Knowledge of statistical principles and strong analytical skills • Ability to accept assigned tasking and engage as a creative self-starter • Ability to remain flexible as projects and tasks evolve
• 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) • 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 • Personalized career growth plans for every employee • Employee-owned business • Flexible work arrangement indicated as remote
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