Job Summary
This position is part of the R7-Marine Mammals Management Office. As a Statistician (Biology) you will be responsible for the statistical quality of the Marine Mammals Management Office biological programs in the Alaska Region and for providing statistical analysis, review and recommendation to Marine Mammals Management Office Staff.
Major Duties
- Utilize advanced biometric principles and statistical theories to estimate wildlife populations and dynamics.
- Use methods that include hierarchical Bayesian modelling, GIS spatial and statistical analysis, wildlife population modeling, and spatial analysis integration using R software.
- Compile data using relational databases and other standard methods.
- Synthesize data and conduct spatial and statistical analysis, including the use of GIS technology and software.
- Utilize hierarchical Bayesian modelling, GIS spatial and statistical analysis, species population and demographics modeling.
- Provide expert advice to wildlife biologists on the use of biometric methods and models, and advanced mathematical and statistical methods.
- Present statistical theory, biometric principles, analytical methods and models, study results interpretations in a clear and concise manner, both orally and in professional publications, to a variety of audiences.
- Produce plans, reports, and interpretive messages regarding the methods and results of analyses and their application to wildlife management decisions.
Qualifications
Basic Education Requirement
Basic Entry Requirements for Biologist, 0401 Completion of a full four year course of study in an accredited college or university leading to a bachelor's degree in biological sciences, agriculture, natural resource management, chemistry, or a discipline related to this position OR Combination of education and experience that included course work equivalent to a major (i.e. 24 semester hours) in biological sciences, agriculture, natural resource management, chemistry, or a discipline related to this position; PLUS appropriate experience or additional course work. The quality of the combination must demonstrate that you possess the knowledge, skills, and abilities required to perform the work of the position and is comparable to that normally acquired through the completion of a full four year course of study with a major as described above. Basic Entry Requirements for Statistics Series, 1530 Completion of a full four year course of study in an accredited college or university leading to a bachelor's degree that includes 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing OR Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. You may qualify at the GS-12 level, if you fulfill the following qualification requirement: One year of specialized experience equivalent to the GS-11 grade level in the Federal service that demonstrates your experience with natural resource database management, biological sciences, wildlife biology, geography (GIS), information technology, assessing potential environmental impacts of developmental activities on wildlife resources; Publishing peer-reviewed scientific papers; Assisting with the planning, implementing, and reviewing studies of wildlife and their habitats; Assisting with the collecting and evaluating of biological or ecological data; Working on interagency or interdisciplinary teams to plan and implement studies or evaluations to resolve wildlife management problems, and pursuing soft funding to support needed studies or examinations of wildlife issues; Applying knowledge of biometric principles, statistical theories, and wildlife population dynamics in the design, implementation, analysis, and reporting of field investigations and monitoring activities; Experience with hierarchical Bayesian modelling, GIS spatial data analysis and statistics, and spatial analysis using R software; Development of statistically sound study proposals and scientifically valid interpretation of study results; Experience compiling data, relational database structure, and statistical data analysis; and/or Experience in extending existing statistical techniques, or developing new statistical approaches for analyzing complex data sets. You may qualify at the GS-13 level, if you fulfill the following qualification requirement:
One year of specialized experience equivalent to the GS-12 grade level in the Federal service that demonstrates your experience in natural resource database management, biological sciences, wildlife biology, geography (GIS), information technology, assessing potential environmental impacts of developmental activities on wildlife resources, publishing peer-reviewed scientific papers, planning, implementing, and reviewing studies of wildlife and their habitats, collecting and evaluating biological or ecological data, working on interagency or interdisciplinary teams to plan and implement studies or evaluations to resolve wildlife management problems, and pursuing soft funding to support needed studies or examinations of wildlife issues; Experience of biometric principles, statistical theories, and wildlife population dynamics, in the design, implementation, analysis, and reporting of field investigations and monitoring activities; Experience with hierarchical Bayesian modelling, GIS spatial data analysis and statistics, and spatial analysis using R software; Development of statistically sound study proposals and scientifically valid interpretation of study results; Experience compiling data, relational database structure, and statistical data analysis; and/or Experience in extending existing statistical techniques, or developing new statistical approaches for analyzing complex data sets. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Promotion Potential: This position involves a multi-grade career ladder. The major duties listed represent the full performance level of GS-12/13. At lower grade levels, you will perform assignments of a more limited scope and with less independence. You will progressively acquire the background necessary to perform at the full performance level of GS-12/13. Promotion is at the discretion of the supervisor and is contingent upon satisfactory performance, availability of higher level work, and availability of funds.The selectee may be promoted without further competition when all regulatory, qualification, and performance requirements are met. Selection at a lower grade level does not guarantee promotion to the full performance level. This announcement is being advertised concurrently under R7-20-10676946-TC(DE) for public eligible. You must apply to each announcement separately if you wish to be considered under both recruitment methods.
Pay Range
$83,121.00 - $128,492.00