Global Models Post-Processing Scientific Support Specialist

Overview Lynker Corporation, a Federal Government Contractor, is seeking to fill a full-time position supporting the National Centers for Environmental Prediction (NCEP) at the Environmental Modeling Center (EMC). The Global Models Post-Processing Scientific Support Specialist serves as a member of the Post-Processing team within the Verification, Post-Processing, and Product Generation Branch (VPPPGB) in a fast-paced, highly collaborative environment. The incumbent will develop, maintain, and support atmospheric post-processed products from EMC’s suite of global scale Earth System Models (ESMs), such as the Global Forecast System (GFS) and the Global Ensemble Forecast System (GEFS), with a particular focus on transitioning to a next generation calibrated suite of model-integrated and post-processed guidance in support of the National Weather Service (NWS) probabilistic Impact-Based Decision Support Services (IDSS) roadmap. The incumbent will be expected to communicate scientific results via both oral presentation briefings and written reports to internal and external customers, and will have direct interaction with NOAA scientists, NCEP centers, NWS forecast offices, and academic partners. This role is contingent on contract modification. More information about VPPPGB can be found at: Responsibilities The Global Models Post-Processing Scientific Support Specialist will have the following Duties: Provide general support for post-processing and atmospheric product generation of global scale ESMs, such as the GFS and GEFS, using the Unified Post Processor (UPP) software framework, including creating new products and maintaining legacy data products. Develop software for global models post processing and products following guidelines and ideas from the NWS probabilistic IDSS roadmap. Interact with NWS/NCEP/EMC and external partner domain scientists and engineers. Adhere to DOC/NOAA/NWS Information Technology policies and procedures. Adhere to project-specific software development guidelines and practices. Complete scientific projects in a timely fashion according to internal and external schedules. Actively contribute to review of scientific ideas at status/technical meetings. Contribute to a monthly task status report. Report regularly to senior project managers on project task completion status. Qualifications The Global Models Post-Processing Scientific Support Specialist selected should have the following: At least an Masters or equivalent experience in atmospheric sciences or meteorology, mathematics, or a related physical science. Strong experience working with model output from both deterministic and ensemble based scale global ESMs. Strong experience working in a high-performance supercomputer UNIX environment with advanced scripting languages such as Python and the korn shell. Strong knowledge of computing languages such as Fortran, C, and C++. Ability to visualize model output using Python scripting and libraries, GEMPAK, or other visualization software. Demonstrated knowledge with using GitHub to manage software repositories and projects. Demonstrated skill in communicating effectively with scientists of diverse backgrounds, and the ability to present results accurately and clearly in both oral and written form. Knowledge of common meteorological data formats, such as BUFR, NetCDF, HDF, and GRIB, etc. Some knowledge of using web page technology and languages (HTML, Javascript, CSS, etc.) to display model output data. Ability to work independently and in a team environment on complex problems. Demonstrated skill in performing tasks requiring organization and attention to detail. The Ideal Global Models Post-Processing Scientific Support Specialist will also have the following: Familiarity with environmental datasets, including observations and ensemble-based model output. Ability to work in a fast-paced environment. Demonstrated skill in performing tasks requiring organization and attention to detail. Knowledge of statistical principles and strong analytical skills. Desire to explore and apply Artificial Intelligence/Machine Learning techniques to model product output on global model timescales. A passion for the National Weather Service mission. Ability to accept assigned tasking, but also engage as a creative self-starter. Ability to work both independently and collaboratively. Driven by curiosity and willing to try new techniques and learn new skills. Ability to remain flexible as projects and tasks evolve. Benefits 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 proud to be an Equal Opportunity Employer and encourages women, minorities, individuals with disabilities and veterans to apply. #J-18808-Ljbffr Lynker Corporation