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The U. S. National Marine Fisheries Service, Northwest Fisheries
Science Center, FRAM Division has recently advertised three positions
as part of the center's efforts on a Cumulative Risk Initiative for
Salmon. These positions are located in Seattle, Washington or
Newport, Oregon. Each of the positions are listed below with their
corresponding announcement number and opening and closing dates.
Additionally, there is a brief statement of duties for each of the
positions. The full position announcements and application procedures
are available at the NOAA jobs page on the Web at:
http://www.usajobs.opm.gov/a9noaa.htm
or you may contact the personnel office at
NOAA, WASC, WC24
7600 Sand Point Way NE
Seattle, WA 98115-0070
(206) 526-6294
(206) 526-6673 FAX
(206) 526-6105 TDD
(Please do not contact me--I have no application materials.)
--Tom Wainwright, NOAA/NMFS/FRAM
[log in to unmask]
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Statistician (biology) or Operations Research Analyst or Fishery
Biologist (GS 12/13)
Announcement W/NMF/990233.EB
Opening 3/17/99
Closing 4/13/99
Newport, OR, or Seattle, WA
The incumbent will be a member of a team involved with building a
decision support framework for Pacific salmon. The focus of this
position will be on the development of spatially-explicit population
models which use Bayesian or other advanced statistical methods to
characterize uncertainty. Linkage of population models to geographic
information systems is expected. The incumbent must have a high
proficiency and substantial demonstrated skill in quantitative
techniques, especially statistical analysis, modeling, and
demonstrated expertise in applying these techniques to biological
populations and ecological systems. Familiarity with the principles
of population dynamics, decision analysis, and geographic information
systems as well as specific knowledge of Pacific salmon populations is
highly desirable. Additionally, (1) demonstrated skill in development
of computer models for fish or wildlife populations; and (2) knowledge
and understanding of procedures used to determine the appropriate
statistical models to be used in analysis of complex data is required.
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Computer Specialist or Operation Research Analyst (GS 12/13)
Announcement W/NMF/990232.EB
Opening 3/17/99
Closing 3/30/99
Seattle, WA
The incumbent will be a member of a team involved with building a
decision support framework for Pacific salmon. The incumbent will have
primary responsibility for the development of a computer-based
implementation of a spatially-explicit (GIS) salmon decision support
system. Candidates must have substantial demonstrated skill in
programming with object oriented languages (such as C++, Java, Eiffel,
Python), in multiple operating systems (unix, windows, others), to
create analysis and modeling tools that are accessible over the
internet. Familiarity with the principles of population dynamics, as
well as specific knowledge of Pacific salmon populations, is highly
desirable. Additionally, demonstrated skill in development of
computer models for fish or wildlife populations is required.
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Operations Research Analyst or Fishery Biologist (GS 11/12).
Announcement W/NMF/990219.EB
Opening 3/12/99
Closing 4/01/99
Seattle, WA
The incumbent will be a member of a team involved with development and
implementation of a decision support system for Pacific salmon. The
incumbent will focus on analysis of salmon harvest and hatchery issues
in Washington, particularly Puget Sound. Activities may include:
modeling of fishery and population dynamics, collection and analysis of
fishery and environmental data, investigation of ecological
interactions and relationships between environmental variables and
salmon abundance and distribution, providing technical assistance for
regional staff and interagency management entities. The candidate must
have substantial demonstrated skill in quantitative techniques,
especially statistical analysis, modeling, and demonstrated expertise
in applying these techniques to biological populations and ecological
systems. Familiarity with the principles of population dynamics,
including genetics, as well as specific knowledge of Pacific salmon
populations, is highly desirable.
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