University of Washington
Environmental Science
SeniorQuantitativeScientist
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“Senior Quantitative Scientist at University of Washington. Skills: computational methods, statistical models, eDNA analysis, global coordination, stakeholder facilitation. lead the development and implementation of computational methods and statistical models for eDNA analysis. facilitating global coordination of standards and best practices”
Industry & Context.
Facilitate collaborative problem-solving sessions
What They're Looking For.
Must Have
Masters Degree in Biology, Molecular Biology, Marine or Aquatic Science, Quantitative Ecology, Fisheries, 4 years of experience, knowledge of molecular techniques (DNA extraction, qPCR/ddPCR, PCR, sequencing), bioinformatic processes, statistical analyses
Nice to Have
Doctorate Degree, 5-7 years of experience, Fluency in other language(s), Knowledge of / interest in processes of prior examples of technological adoption across institutions in other contexts.
What You'll Do.
lead the development and implementation of computational methods and statistical models for eDNA analysis
facilitating global coordination of standards and best practices
and implement statistical models and computational pipelines for analyzing eDNA data in wildlife ecology and fisheries contexts
Write production-quality code for data processing
Oversee multiple concurrent quantitative projects
providing technical guidance and quality control
Develop novel analytical approaches to address emerging questions in eDNA science
Collaborate with field researchers to translate ecological questions into quantitative frameworks
Maintain and improve existing analytical tools and workflows
and facilitate discussions among existing national and regional eDNA networks across all inhabited continents
Work with US federal agencies to support implementation of national eDNA strategies
Facilitate collaborative problem-solving sessions between researchers
Serve as technical advisor to eDNA Collaborative network-building activities
Manage communication and coordination across multiple time zones and cultural contexts
Prepare technical reports
peer-reviewed publications
and presentations for scientific and policy audiences
Document analytical methods
and workflows for reproducibility and knowledge transfer
Communicate complex quantitative concepts to non-technical stakeholders
Lead or contribute to grant proposals and strategic planning documents
Present research findings at national and international conferences
How You'll Work.
Team & Collaboration
build consensus across diverse international stakeholders; Collaborate with field researchers; promote a collaborative team environment; working with diverse stakeholders; Facilitate collaborative problem-solving sessions between researchers, policymakers, and practitioners; Manage communication and coordination across multiple time zones and cultural contexts
Communication Scope
ability to build consensus; Demonstrated cultural competence and communication skills for effectively working with diverse stakeholders; Effective written and oral communication skills; Communicate complex quantitative concepts to non-technical stakeholders; Present research findings at national and international conferences
Process & Methodology
Oversee multiple concurrent quantitative projects, setting and meeting milestones and timelines
Full Job Description
**Job Description** The eDNA Collaborative is housed at the University of Washington’s School of Marine and Environmental Affairs with a mission of accelerating the move of eDNA techniques out of the lab and into routine practice around the world. The eDNA Collaborative's overarching emphasis is on broadening eDNA use beyond historically well-funded settings by building and supporting an international network of practitioners. Primary programs include an international visiting-scholars program, small grant awards in support of external research, and original in-house research focusing on genetic detection and monitoring for environmental science and conservation. The Senior Quantitative Scientist will lead the development and implementation of computational methods and statistical models for eDNA analysis while facilitating global coordination of standards and best practices. This role requires both technical expertise in quantitative methods and the ability to build consensus across diverse international stakeholders. **_Job Duties:_** _Quantitative Analysis and Model Development (35%)_ * Design, develop, and implement statistical models and computational pipelines for analyzing eDNA data in wildlife ecology and fisheries contexts * Write production-quality code for data processing, analysis, and visualization * Oversee multiple concurrent quantitative projects, providing technical guidance and quality control * Develop novel analytical approaches to address emerging questions in eDNA science * Collaborate with field researchers to translate ecological questions into quantitative frameworks * Maintain and improve existing analytical tools and workflows _Global Network Engagement and Standards Development (30%)_ * Identify, engage with, and facilitate discussions among existing national and regional eDNA networks across all inhabited continents * Work with US federal agencies to support implementation of national eDNA strategies _Stakeholder Facilitation and Coordin
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