What are the responsibilities and job description for the Scientific Programmer position at SAIC?
Description
SAIC is seeking a Scientific Programmer to support our customer, NOAA GFDL, in Princeton, NJ. This position requires an ability to obtain a Public Trust and work at the local customer site. Desired physical location is in the Princeton, NJ or surrounding area.
The Scientific Programmer responsibilities include, but are not limited to :
Fundamental to Intermediate Python programming skills
Experience with Conda a plus
Fundamental to Intermediate Git experience
Experience with NetCDF, S3, etc.
External communications and collaborations with physical scientists and computer scientists, requirements gathering, Help Desk support, process design and documentation for data integrity and data dissemination, and database development.
Leverages existing user-facing data dissemination mechanisms and expands on it to provide seamless data discovery and access to climate model output for efficient data analysis.
Develop data standardization, microservices, and packages for the organization.
Implements unified systems and web portals for metadata collection leveraging data catalogs, databases, data dissemination processes and usage metrics.
Demonstrated ability to coordinate with QA / QC personnel and data engineers to initiate data dissemination protocols.
Co-creates a process for seamless data dissemination, traceability and creditorship of data.
Data delivery.
Qualifications
Qualifications
Required Qualifications :
A Bachelor's degree in Computer Science, Information Systems, Engineering, Business or other related scientific or technical discipline.
Two years of specialized experience in determining information technology effects on the organizational structure and determining the ability that IT can support / meet organizational goals.
With a Master's Degree (in the fields described above) : two years experience.
With a PH.D. (in the fields described above) : one year experience.
With at least 8 years of specialized experience, a degree is not required.
Strong fundamental Python Programming skills
Ability to obtain and maintain a Public Trust clearance which requires US Citizenship.
Experience with version control and documentation.
Background in implementing data management strategies and functions data steward roles in partnering with different stakeholders and cross-divisional liaisons in the organization.
Interested in advancing programming skills
Ability to work independently and self direct work.
Background in Help Desk support and directions for serving data.
Desirable Skills :
Professional knowledge in one or more physical science fields.
Experience with Conda
Experience with AWS / Google Storage a plus
Program and Project Details :
GFDL is focused on comprehensive long-lead-time research that is fundamental to advancing the scientific understanding of the physical, dynamical, chemical and biogeochemical processes governing the behavior of the atmosphere, oceans, land, and ice components and their interactions with the ecosystem. Scientists at GFDL develop and use Earth system models and computer simulations to improve our understanding and prediction of all aspects of the climate system. GFDL scientists focus on model-building relevant for society, for hurricane research, weather and ocean prediction, seasonal forecasting, understanding regional and global climate change, and more. GFDL has pioneered much of the world's research on the modeling of climate change since 1955.
GFDL's research encompasses the predictability and sensitivity of global and regional climate; the structure, variability, dynamics and interaction of the atmosphere, the ocean, sea ice, and land; and the ways that the atmosphere, oceans, and land influence, and are influenced by various trace constituents. This science incorporates a variety of disciplines including meteorology, oceanography, hydrology, classical physics, fluid dynamics, chemistry, applied mathematics, and numerical analysis.
Research at GFDL is facilitated by the Atmospheric and Oceanic Sciences Program, which is a collaborative program with Princeton University. Under this program, Princeton faculty, research scientists, and graduate students participate in theoretical, analytical, numerical, and observational studies. The program is supported in part by NOAA funding.
Location : Princeton, NJ
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy : SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
