Research Scientist/Programmer

Clearance Level
None
Category
Scientists
Location
Durham, North Carolina

REQ#: RQ40071

GDIT provides air quality modeling support under two US Environmental Protection Agency contracts.  The GDIT Air Quality Modeling program performs development, testing, implementation, and evaluation of emissions, meteorological, and air quality models.    

  • Engages in initiating, designing, developing, executing, and implementing scientific research projects.
  • Plans and conducts scientific testing and prepares comprehensive technical reports, data reports, and other publications.
  • Develops theories for understanding, characterizing and organizing natural phenomena into a systematic and meaningful pattern for research into new process methods.

Required Qualifications:

  • BS or MS in computer science, meteorology, or other scientific/mathematical field + 2 yrs experience
  • Proficiency in Microsoft Word and Excel
  • Experience working in a Linux operating system environment
  • Working knowledge of Unix scripting languages (e.g. bash, csh, sed, awk, perl)

Other Qualifications Desired:

  • Prior experience with public domain emissions and air quality models such as SMOKE, CMAQ, CAMx and AERMOD
  • Working knowledge of SAS, R
  • Working knowledge of python, FORTRAN, database software MySQL
  • Experience with GIS systems ArcGIS, QGIS and/or Google Earth
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.