Job summary
Job post source
This job is directly from ERT
Job overview
The Scientific Programmer at ERT supports AI/ML development and operational production of satellite-based global products, impacting observational precipitation analysis and data set production.
Responsibilities and impact
The role involves developing AI/ML techniques for precipitation analysis, routine production of global data sets, and assisting PIs in developmental and operational activities related to observational data.
Compensation and benefits
The salary range is $68,000 - $146,000 per year with benefits including medical, dental, vision insurance, 401(k) with company match, paid holidays, PTO, life insurance, disability coverage, tuition reimbursement, and performance bonuses.
Experience and skills
Requires a Master's or higher in Atmospheric Hydroclimate sciences or related field, experience in AI/ML development for earth sciences, strong programming skills in Linux scripts, Fortran, Python, familiarity with numerical algorithms, and US citizenship or permanent residency.
Career development
Opportunities include tuition reimbursement, personal development, learning opportunities, skills development, certifications, and professional membership reimbursement.
Work environment and culture
ERT offers a flexible benefits package, equal opportunity employment, and a supportive environment with incentives for publication and conference presentations.
Company information
ERT is a federal contractor providing scientific and technical services, collaborating with government agencies like NOAA on satellite and observational data projects.
Team overview
The candidate will work closely with PIs and Co-PIs at NOAA's College Park facility, supporting AI/ML and data production teams.
Job location and travel
This position is on-site at NOAA's College Park facility in College Park, MD, with some telework permitted.
Unique job features
The job features involvement in cutting-edge AI/ML applications in earth sciences and access to government information systems requiring security clearance.
Company overview
ERT, now known as Clario, is a global data and technology company that specializes in clinical trial endpoint data collection solutions. They provide electronic data capture, patient engagement, and clinical trial management services to pharmaceutical, biotechnology, and medical device companies. Founded in 1972, ERT has a long history of innovation in clinical trial technology, having merged with Bioclinica in 2020 to expand their capabilities. They generate revenue through service contracts with clinical trial sponsors, leveraging their expertise to improve the efficiency and accuracy of clinical research.
How to land this job
Tailor your resume to highlight your expertise in AI/ML development specifically applied to earth sciences, emphasizing your ability to contribute from Day One to AI-based projects focused on precipitation analysis and global observational data sets.
Showcase your strong programming skills in Linux scripting, Fortran, Python, and familiarity with numerical algorithms and graphics software like GrADS or IDL, as these are key technical requirements for the role.
Apply through multiple channels including the ERT corporate careers site, LinkedIn, and relevant job boards to maximize your visibility and chances of being noticed for this Scientific Programmer position.
Connect with current employees or team members in the AI/ML or earth sciences divisions at ERT on LinkedIn; use ice breakers such as commenting on recent AI/ML advancements in satellite data or asking about their experience working on operational global data products.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI/ML development,' 'precipitation analysis,' 'Linux scripting,' 'Fortran,' 'Python,' 'numerical algorithms,' and 'operational data production' to ensure your resume passes initial automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored resume submissions across multiple platforms and identify LinkedIn connections for networking, allowing you to focus your time on preparing for interviews and skill development.
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