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3 дня назад

Data Coordinator (Environmental Science)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Coordinator (Environmental Science): Managing and documenting scientific datasets to support long-term preservation and public accessibility with an accent on metadata standards and data lifecycle support. Focus on coaching partner scientists on best practices and ensuring datasets are analysis-ready for interdisciplinary research projects.

Location: Must be based in the US within Alaskan, Hawaii-Aleutian, or Pacific time zones, with hybrid options available in the Anchorage, AK office.

Company

hirify.global is a global leader in consulting and engineering services, specializing in water, environment, and sustainable infrastructure solutions.

What you will do

  • Organize and document datasets to support long-term preservation and public accessibility.
  • Apply standardized data and metadata formats to ensure datasets are analysis-ready.
  • Develop and maintain data delivery schedules for research teams and stakeholders.
  • Support the salvage and documentation of historical datasets to improve usability.
  • Provide user support for data portals and management tools.
  • Train partner scientists and program staff on data management best practices.

Requirements

  • Bachelor’s degree in Library and Information Science, Marine Sciences, Wildlife Biology, Environmental Science, or a related field.
  • Must be based in the US within Alaskan, Hawaii-Aleutian, or Pacific time zones.
  • Familiarity with responsible data management practices and formats like CSV and NetCDF.
  • Knowledge of scientific metadata formats such as ISO, EML, Darwin Core, CF Conventions, and ACDD.
  • Familiarity with Python or R and working in an agile development environment.
  • Ability to travel up to 5% annually for conferences and meetings.

Nice to have

  • Experience collecting data as part of a scientific research project.
  • Experience publishing open data products.
  • Familiarity with tools like DataONE, NCEI, EDI, Dataverse, Dryad, or Zenodo.

Culture & Benefits

  • Comprehensive and market-competitive benefits package.
  • Merit-based financial rewards.
  • Commitment to work-life balance and flexible work arrangements.
  • Collaborative team atmosphere valuing employee contributions.
  • Ongoing professional growth through learning and development opportunities.

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