Lynker

Lead Physical Scientist

COLLEGE PARK, MDPosted 25 days ago

Job summary

  • Job post source

    This job is directly from Lynker

  • Job overview

    The Lead Physical Scientist at Lynker leads a team supporting NOAA's Environmental Modeling Center to develop and improve the Unified Forecast System, impacting weather and climate prediction.

  • Responsibilities and impact

    The role involves leading project tasks, overseeing technical work quality, collaborating with federal managers and scientists, mentoring team members, preparing reports, and contributing to contract proposals.

  • Compensation and benefits

    Lynker offers comprehensive healthcare at no cost to employees, competitive compensation, 401(k) with company match, employee stock ownership, PTO, bonuses, tuition assistance, and various insurance benefits.

  • Experience and skills

    Requires a Master's or higher in relevant sciences or engineering with 10+ years experience including 3 years in project management, strong leadership, programming skills in Fortran and Python, HPC experience, and excellent communication.

  • Career development

    The company provides personalized career growth plans, training reimbursement, and a learning management system for professional development.

  • Work environment and culture

    Lynker promotes a team-oriented environment valuing scientific expertise, creativity, and equal opportunity employment with a focus on merit and diversity.

  • Company information

    Lynker is an employee-owned small business specializing in scientific and technical services with a focus on hydrology, geospatial analysis, IT, and resource management.

  • Team overview

    The candidate will lead a team of engineers and scientists working closely with federal oversight managers and external partners at the NOAA Center for Weather and Climate Prediction.

  • Job location and travel

    The position is based at NOAA Center for Weather and Climate Prediction in College Park, MD, with full-time remote work allowed for qualified candidates.

  • Unique job features

    The job offers leadership over a critical national environmental forecasting system with opportunities to work on advanced scientific and computational challenges using modern software and HPC platforms.

Company overview

Lynker is a science, engineering, and technology company that provides innovative solutions for environmental and water resources management. They generate revenue by offering consulting services, developing software tools, and conducting research projects for government agencies, private sector clients, and non-profit organizations. Founded in 2008, Lynker has grown through strategic acquisitions and partnerships, establishing a strong presence in the environmental services industry. Their expertise spans hydrology, oceanography, climate science, and ecosystem management, making them a key player in addressing global environmental challenges.

How to land this job

  • Tailor your resume to highlight leadership in scientific project management, especially in atmospheric or geophysical sciences, emphasizing your experience with Unified Forecast System development or similar environmental modeling projects.

  • Focus on showcasing your proficiency with programming languages like Fortran and Python, UNIX environment expertise, HPC platforms, and modern software development practices including Git/GitHub.

  • Apply through multiple channels such as Lynker's corporate career page, LinkedIn, and relevant government job boards to maximize your application exposure.

  • Connect on LinkedIn with Lynker employees in the Environmental Modeling Center or related divisions; initiate conversations by referencing recent UFS advancements or asking about team culture and project challenges.

  • Optimize your resume for ATS by including keywords from the job description such as 'project management,' 'UFS,' 'HPC,' 'Fortran,' 'Python,' and 'geophysical science' to ensure it passes automated screenings.

  • Use Jennie Johnson's Power Apply feature to automate tailored applications across platforms and identify LinkedIn contacts for networking, allowing you to focus more on preparing for interviews and professional development.

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