Research Scientist 3

The University of New Mexico•Albuquerque, NM
•Remote

About The Position

The FOR-NM Project (Forest Research for New Mexico Water and Carbon Management) seeks a Research Scientist 3 focused on data management. The role supports a multi-institutional research program spanning five institutions across New Mexico, including collaboration with Sandia National Laboratory. The project aims to improve management of New Mexico’s forested watersheds by addressing gaps in understanding water and carbon dynamics in relation to forest management. The position is a term, full-time staff role with an end date one year from the start date. It is benefits eligible and eligible for remote work. Approximately 15% of duties may involve field work, and interest in participating in field work is strongly desired. The successful candidate must complete a post-offer, pre-employment physical examination and medical history check; additional health screenings may be required depending on the research conducted.

Requirements

  • Bachelor's degree.
  • At least 3 years of experience directly related to the duties and responsibilities; completed degrees above the minimum education requirement may substitute for experience on a year-for-year basis.
  • Expertise in working with environmental sensor data.
  • Submit to a post-offer, pre-employment physical examination and medical history check; additional health screenings may be required depending on the research conducted.

Nice To Haves

  • Master's degree in biology, ecology, data analytics, remote sensing, GIS, hydrology, or a closely related field.
  • Previous experience working with large datasets.
  • Experience collaborating with a team of scientists across multiple institutions.
  • Experience with numerical modeling, remote sensing, and/or environmental sensors.
  • Excellent English verbal communication skills.
  • Experience programming in R and/or Python and using collaborative, version-controlled workflows, including Git and/or Jupyter Notebooks.
  • Experience developing data-processing pipelines using R and/or Python.
  • Interest in participating in field work.

Responsibilities

  • Collate and manage data using version-controlled programmatic workflows in R and/or Python, including large volumes of high-frequency sensor data and model outputs.
  • Work with investigators to design and deliver data products to open access repositories.
  • Train participants to track and quality-control data.
  • Participate in field work, approximately 15% of duties; interest in field work is strongly desired.

Benefits

  • Medical, dental, vision, and life insurance.
  • Tuition remission and dependent education programs.
  • Eligible employees working greater than .25 FTE, as determined under the New Mexico Education Retirement Act, must make mandatory retirement contributions.
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