Statistical Analysis Support Services

Ocean Associates Incorporated

$93K — $124K *
Education, Government & Non-Profit
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • PhD in statistics, mathematics, fisheries, ecology, or related natural sciences with strong quantitative background.
  • 10+ years of related experience with NOAA Fisheries species and habitats in the West Coast region.
  • Excellent verbal and written communication skills with experience in writing reports and publishing articles.
  • Extensive experience in statistical modeling and data analysis, particularly in R, Stan, and JAGS.
  • Ability to manage workload efficiently and work independently or in interdisciplinary teams.

Responsibilities

  • Provide statistical analysis to support management decisions.
  • Analyze spatial and temporal variability in salmon migration and survival.
  • Develop relationships between fish responses and ecological stressors.
  • Create probabilistic mathematical models to represent ecological processes.
  • Support researchers with study design and statistical analysis.
  • Curate ecological datasets for mark-recapture modeling.
  • Document and share scientific workflows for collaboration and transparency.
  • Publish research findings and present at scientific meetings.

Benefits

  • Full-time position with benefits package.
  • Opportunity to engage in impactful ecological research.
  • Work within a leading organization in fisheries science.
  • Collaborative atmosphere with interdisciplinary teams.
  • Participation in professional conferences and publishing opportunities.
Full Job Description
Note: We are seeking applicants for this position prospectively, which is dependent on award of contract

If you are unable to complete this application due to a disability, contact Ocean Associates at [redacted] to ask for an accommodation or an alternative application process.

Ocean Associates Inc. (OAI) is seeking an applicant to provide statistical Analysis support services to the National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE) in Seattle, WA.

Background

The Fish Ecology Division at the Northwest Fisheries Science Center (NWFSC) conducts scientific research on marine and anadromous species in the Pacific Northwest and California to support management of these species as mandated by the authorizing mechanisms outlined above. Some stocks are managed under the MSA to produce abundant harvest opportunities for commercial and recreational fishermen and to meet tribal treaty obligations, while others are in decline and protected by the ESA. The NWFSC also researches ways to improve aquaculture and increase seafood safety. Holistic understanding of all factors controlling the abundance and health of fisheries and aquaculture often requires an ecosystem approach, working to understand how managed natural resources are affected by their prey, competitors, predators, habitats, and humans. This position will support NWFSC staff and interdisciplinary teams of scientists, natural resource managers, and tribal representatives to conduct ecological research on species that NOAA is mandated to manage.

The NWFSC is a leader in quantitative analyses supporting fisheries management for marine and anadromous species. It produces increasingly large datasets as quantitative research techniques become more complex. Researchers examine complex relationships between managed stocks and their environments that involve highly technical statistical approaches that continue to rapidly evolve. The Center collaborates with regional partners to manage data and provide public access to empirical and modeled data products. There is a strong need for continued improvement in both the ability to conduct advanced quantitative analyses and to adeptly manage and share resulting research products. Modern fisheries management faces a growing data-capacity gap: data volume is surging while managers have less time to interpret complex research.

Tasks

Key tasks include the following:
  • Provide statistical analysis to inform management decisions.
  • Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in the river systems, especially to understand survival and migration patterns through hydropower systems and through their life cycles.
  • Analyze and generate relationships between fish responses (e.g. density, growth, survival, migration rate) and stressors (e.g. environmental or ecological conditions, habitat metrics, management actions, etc.) in particular life stages.
  • Develop novel probabilistic mathematical and simulation models that seek to represent unique and complex ecological and behavioral processes with modern statistical methods.
  • Provide statistical support for other researchers during study design and analysis.
  • Organize and curate ecological datasets relevant to mark-recapture modeling needs.
  • Document and share reproducible research workflows and analytical protocols to ensure scientific transparency and peer collaboration.
  • Publish reports and scientific papers, and present results at regional and national meetings and scientific conferences, as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This may involve riding in vehicles and/or boats.


Start Date: Contingent upon award of contract.

Location: Northwest Fisheries Science Center, Seattle, WA, or at one of its associated field stations in WA or OR.

Travel: Travel is anticipated. A valid driver's license must be maintained.

Salary and Benefits: This is a full-time position with benefits. Salary, commensurate with experience, between $45.00 - $60.00+ per hour.

Requirements

Applicants must have the following minimum requirements:
  • PhD degree from an accredited college or university with a major in a field of study related to the requirements of the task order with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences is required. Must have a strong quantitative background with a solid foundation and extensive coursework in statistics and probability. Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.
  • Ten (10) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. An Advanced Degree in a related field may be substituted for two (MS) or four (PhD) years of experience.
  • Excellent verbal and written communication, and experience writing reports and publishing peer-reviewed articles.
  • Strong quantitative skills including extensive experience in statistical modeling and data analysis. Extensive experience conducting analyses and coding in R, experience with programs Stan and JAGS, and experience with open science concepts. Strong computational skills, including the ability to manipulate large environmental datasets within a command-line environment (e.g., Linux/shell scripting) to support statistical workflows. Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context. Familiarity with common software including Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently. Ability to work both independently and on interdisciplinary teams.


If you are interested in being considered for this position, please APPLY THROUGH OUR ADP WEB PORTAL, AT THE LINK AT THE TOP RIGHT OF THIS PAGE.

Only qualified applicants that meet minimum experience or background requirements stated above need apply. When applying for this position you will be asked to upload your resume at the end of this online application.

Applicants should submit a resume that includes the following:
  • Cover letter that briefly describes how you meet the required and preferred qualifications listed.
  • Work history for past 10 years or since last full-time education.
  • Education.
  • Previous experience or training with similar requirements.
  • Three professional references.
  • Include your name in the document file name.
  • Upload your resume in readable, not scanned, PDF or Word format (PDF is preferred).


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