RESEARCH STATISTICIAN I
|Department||MDE - Water and Science Administration (WSA)|
|Date Opened||6/3/2021 1:03:00 PM|
|Filing Deadline||6/17/2021 5:00:00 PM|
|Salary||$39,768-$51,195 w/potential growth to $62,882yr. State Salary Guidelines apply to State Empl.|
|HR Analyst||Peggie Jefferson|
LOCATION OF POSITION
The Research Statistician is an entry level position within Water and Science Administration/Integrated Water Planning Program (IWPP). The incumbent in this position will support the agency's role in promoting and overseeing the implementation of both the Chesapeake Bay Total Maximum Daily Load (TMDLs) and other local, State TMDLs under the federal Clean Water Act. The incumbent in this position will assist in the design of water quality monitoring studies and perform water quality data analysis, management, and reporting of chemical, biological, and physical water quality datasets.
This position primary duties will include but not limited to:
Design of water quality monitoring studies;
Analysis of water quality data to determine effectiveness of management action, detect trends and conduct water quality assessments;
Creation of schemas for water quality data reporting;
QAQC of reported water quality data.
Education: A Master’s degree from an accredited college or university with a minimum of nine credit hours, or the equivalent graduate credit hours in research methodology, theoretical or applied statistics or measurement theory.
Note: Candidates may substitute U.S. Armed Forces military service experience as a commissioned officer in Statistician classifications or Statistician and Intelligence Officer specialty codes in the Statistics field of work on a year-for-year basis for the required education.
DESIRED OR PREFERRED QUALIFICATIONS
It is preferred that the selected candidate has experience in one of the following:
Environmental research, including design and data collection;
Large datasets with stochastic variables;
Statistical analysis in a research or applied setting;
Interpretation and formal presentation or data;
Use of SAS, R, or a similar analytical coding software.