Integrated Statistics is looking for a Distance Sampling Data Analyst to
support the National Oceanic and Atmospheric Administration (NOAA)
National Marine Fishery Service (NMFS) Northeast Fisheries Science
Center (NEFSC).
The Distance Sampling Data Analyst will assist NEFSC's Protected Species
Branch (PSB) with the analysis of two disparate types of data on marine
mammal distributions.
PSB's mission includes assessing the population status of protected
species (cetaceans, sea turtles, seabirds, and seals) within U.S.
waters, and evaluating threats to species and populations due to
anthropogenic activities. Detailed assessments of species distributions
and abundances are essential to understand broad scale spatial and
temporal movements and behaviors. For risk assessment and mitigation of
impacts, information on seasonal and inter-annual variability in
distribution, ecology, and behavior at smaller spatial scales is used to
estimate potential impacts on protected species due to localized
activities (e.g., fishery bycatch, military exercises, energy
exploration, shipping traffic, etc.).
The objective of this one-year study is to compare high-resolution
aerial imagery survey and visual survey methodologies from marine mammal
line transect surveys conducted over the New York Bight. The reason for
the comparison is to explore avenues to integrate data from both data
streams to be able to create a consistent time series of aerial survey
data results from both imagery and visual data.
The line-transect survey data comes from two main sources: traditional
visual aerial survey effort; and digital aerial survey effort using
high-definition cameras. A third source, visual 2-team visual aerial
survey efforts conducted by NMFS, may augment the main two data sources.
*Duties*
The project tasks include:
* Processing the data from two main sources to allow comparison of
these two datasets.
* Conducting summary analyses of the datasets, modelling the datasets,
and evaluating assumptions of the analyses and modeling.
* Comparing the results from the two data sources.
* Developing a report or peer-reviewed journal paper of the methods
used and results.
The analyses include, but are not limited to, developing general
spatiotemporal summaries of the raw data. The modeling includes, but is
not limited to, developing spatiotemporal distribution and abundance
maps and estimates using Distance sampling methods. Results from the two
datasets should be compared using appropriate statistical evaluation.
*Qualifications and Skills*
The successful candidate should possess:
* A Master's or PhD in a biological field of study that included
statistical and programming coursework, or equivalent.
* Expertise in using the R software, with these specific skill sets:
o Manipulating large datasets.
o Conducting statistical evaluations.
o Analyzing line-transect data using the Distance R packages such
as mrds.
o Fitting density surface models to line-transect data using R
packages such as dsm, mgcv, etc.
* Track record of success in working independently within a team
environment, with limited supervision.
* Demonstrated ability to develop timely reports or journal papers
documenting scientific results.
* Excellent written and oral communication skills.
* Ability to adapt quickly to changing priorities and strict timelines.
* US citizenship and presence. Ability to comply with EO 14042.
The position is expected to last one year. The position may be filled
remotely within the US, with the ability to travel to Woods Hole, MA for
meetings. The rate of pay will depend on skills and experience, and the
position is eligible for the benefits described on the Integrated
Statistics website. To apply for this position, go to
https://jobs.intstats.com/JobDetails.jsp?jobListingId=297 or visit
www.integratedstatistics.com, click Employment Opportunities, click the
job name and click the Apply Here link.
Integrated Statistics is an equal opportunity employer and will not
discriminate against any employee or applicant on the basis of age,
color, disability, gender, national origin, race, religion, gender
identity, sexual orientation, veteran status, or any classification
protected by federal, state, or local law. Consistent with its
obligations under federal law, Integrated Statistics is committed to
taking affirmative action to employ and advance in employment qualified
women, minorities, disabled individuals, special disabled veterans,
veterans of the Vietnam era, and other eligible veterans. For assistance
with accessibility of applications, posters, forms, and/or documents,
please email the Integrated Statistics office.
--
Integrated Statistics, Inc.
16 Sumner Street
Woods Hole, MA 02543
Cell: (508) 648-8308
Office: (508) 540-8560
Fax: (508) 721-6841
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