Research Mathematical Statistician (GS-1529-11/12/13)

Summary

Duties

• Conduct research using both conventional and sophisticated statistical research techniques.
• Emphasis on experimental design, linear and non-linear regression, general linear models, mixed effects models, data mining, and simulation techniques.
• Participate in statistical, mathematical, and computational collaborations with other scientists.
• Understand and communicate with scientists from other disciplines and be able to convey statistical concepts and methods in an understandable and useful manner.
• Join a research team of the few statisticians in the United States working in wood utilization research.
• Provide economic information, analysis, and projections indicating how and why the markets and technologies for wood products change over time.

Requirements

Conditions of Employment

• Must be a U.S. Citizen or National.
• Males born after 12-31-59 must be registered for Selective Service or exempt.
• Subject to satisfactory adjudication of background investigation and/or fingerprint check.
• Completion of a three-year probationary period required in accordance with the USDA Demonstration Project Authority. During this time, employee's conduct and performance will be monitored to determine if employee will be retained.
• Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
• Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit E-Verify.

Qualifications

• Conducting the full cycle of scientific research with defined objectives, limited in scope to investigating specific phenomena or problems, or are segments of related investigations. Research at this level requires fairly conventional techniques and involves applying existing theory or methods to areas previously investigated, but under different conditions, or involves adapting previous studies in light of changes in theory or improved techniques and instrumentation and result in contributions that add to scientific and professional knowledge or support developing new or improved methods and techniques. This research must have been related to statistical methods and techniques.
• Using common statistical packages, such as SAS, R, SSPS and/or Minitab to develop mathematical algorithms and write statistical computer programs.
• Disseminating research findings at conferences or scientific meetings and contributing to results published in peer-reviewed journals.
• Collaborating and building partnerships with researchers.

• Conducting the full cycle of scientific research (including identifying research topics, defining study objectives, organizing and conducting the research, interpreting the results, and presenting the findings in the form of reports, demonstrations, manuscripts, and other appropriate technology transfer activities) related to statistical methods and techniques. Research can involve applying existing theory or methods to areas previously investigated, but under different conditions, or involve adapting previous studies considering changes in theory or improved techniques and instrumentation.
• Using both conventional and sophisticated statistical research techniques, with special emphasis on inferential statistics, experimental design, multivariate methods, regression analysis, nonparametric data analysis, sampling methods, general linear models, mixed effects models, and simulation techniques.
• Using common statistical packages, such as SAS, R, SSPS and/or Minitab to develop mathematical algorithms and write statistical computer programs.
• Adapting and/or developing statistical methods and/or theory to improve the statistical field as documented in a statistical thesis or refereed publication.
• Forming, leading, and participating in research teams, regional, and/or national importance.
• Disseminating research findings at conferences or scientific meetings and publishing results in peer-reviewed journals.

• Conducting a diversity or body of research as a Principal Investigator or project member on multiple studies that include the full cycle of scientific research (i.e. identifying research topics, defining study objectives, organizing and conducting the research, interpreting the results, and presenting the findings in the form of reports, demonstrations, manuscripts, and other appropriate technology transfer activities) as it pertains to statistical methods and techniques. At this level, research conducted may have involved problems that are difficult to define; areas previously investigated, but under different conditions; or involve adapting previous studies considering changes in theory or improved techniques and instrumentation.
• Using and modifying both conventional and sophisticated statistical research techniques, special emphasis on inferential statistics, experimental design, multivariate methods, regression analysis, nonparametric data analysis, sampling methods, general linear models, mixed effects models, and simulation techniques and integrating statistical thinking with statistical, mathematical, and computational methods to analyze and interpret research results.
• Using common statistical packages, such as SAS, R, SSPS and/or Minitab to develop mathematical algorithms and write statistical computer programs.
• Adapting and/or developing statistical methods and/or theory to improve the statistical field as documented in a statistical thesis or refereed publication
• Developing and disseminating research findings in collaboration with resource managers and planners for presentation at conferences or scientific meetings and publishing results in peer-reviewed journals.

Education