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Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate science. We leverage cutting-edge technologies and scientific expertise to support improved operational weather forecasts. We are seeking a Junior Scientific Programmer Analyst for a potential long-term contract under FLOAT, a joint venture with Fish supporting NOAA ProTech Fisheries. This position is contingent upon contract award. Responsibilities The Junior Scientific Programmer Analyst will: Estimate abundance of protected species, accounting for perception and availability bias; develop spatial and temporal models using methods like Generalized Additive Models and Bayesian Hierarchical Models. Develop methods to address uncertainties in current analyses, including species identification, dive time corrections, and integrating passive acoustic data. Create simulated datasets that incorporate biases, focusing on line transect surveys. Quantify ecological relationships between species characteristics and ecosystems. Estimate bycatch in fisheries using government and fishery data. Detect and describe bycatch events using data analysis tools, AI, and ML techniques. Assess impacts of climate change and human activities on protected species and propose mitigation measures. Analyze data from multiple survey platforms, including visual, acoustic, environmental, and telemetry data. Assist in managing research projects, workflows, and reporting. Create and maintain databases for survey and environmental data, developing user-friendly data entry and retrieval processes. Build analytical tools using R, RShiny, and other programming interfaces. Prepare technical and outreach materials, including reports, presentations, and manuscripts. Present results at conferences and contribute to reports and publications. Develop algorithms for identifying marine animals in digital images, documenting biases using AI/ML tools. Qualifications Minimum requirements include: Bachelor’s degree or equivalent, or 1+ years of relevant experience. Experience with distance sampling, statistical analyses, Bayesian models, species distribution modeling, and programming in R, Python, C++, or similar. Experience processing remote sensing data and working with AI/ML techniques. Extensive experience with Oracle databases and SQL. Proficiency in web design and bycatch estimation using observer data. Preferred skills: Programming skills in R, Splus, SAS, AD Model Builder, TMB, Python, or C++. Understanding of basic statistical methods. About Lynker Lynker is an employee-owned small business specializing in scientific and technical services across various environmental domains. We value effective, creative, and scientifically sound solutions. Our benefits include comprehensive healthcare, PTO, competitive pay, 401(k), ESOP, training, bonuses, and career growth opportunities. Lynker is an E-Verify employer and an equal opportunity employer. #J-18808-Ljbffr