Senior Wetland Scientist in Boulder, Colorado at Lynker Technologies

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.

As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Senior Wetland Scientist to join our growing team.

Duties of the Senior Wetland Scientist will include the following:

• Mapping at scale: produce, improve, and maintain versioned wetland maps across large regional to national extents.
• Cloud-native geospatial: build and run mapping and modeling workflows using cloud-native geospatial tools, formats, and storage.
• Wetland modeling: implement, adapt, and improve existing and new models for wetland potential and for wetland boundary and extent.
• Data integration: integrate LiDAR-derived elevation, hydrology, imagery, soils, and existing wetland inventories into reproducible modeling pipelines.
• Validation & QA: design validation against reference data, quantify uncertainty, and quality-control wetland maps for accuracy and consistency.
• Communication: document methods and results, contribute to reports and proposals, and partner with the Platform, Modeling, and Applications teams that scale and serve your products.

The Senior Wetland Scientist selected should have the following:

• Master's or PhD in wetland science, ecology, geography, environmental or earth science, hydrology, or a related field, or equivalent experience.
• Roughly 5+ years of relevant experience, or a PhD plus a few years of relevant work.
• Demonstrated experience mapping wetlands, land cover, or comparable features at large spatial scale.
• Hands-on experience with cloud-native geospatial tooling, formats, and workflows.
• Experience implementing or adapting geospatial or ecological models (wetland potential, habitat, boundary and extent, or comparable).
• Proficiency in Python and/or R for geospatial analysis, with sound coding and reproducibility practices.

The Ideal Senior Wetland Scientist will have the following:

• Experience with wetland potential or probability modeling and with wetland delineation, boundary, and extent methods.
• Experience applying machine learning to land-cover or wetland classification.
• Familiarity with national wetland, hydrography, soils, and elevation datasets, and with remote-sensing inputs.
• Experience with distributed or parallel processing for large-area geospatial work (e.g., cloud batch, Dask, or Google Earth Engine).
• A record of scientific publication or successful proposal work.
• Colorado Front Range presence for periodic in-person collaboration.

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:

• 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.