Research Scientist 3
About The Position
The FOR-NM Project (Forest Research for New Mexico Water and Carbon Management) seeks applications for a Research Scientist 3 position with a focus on data management. We are looking for a motivated and organized person with a background (MS degree preferred) in ecology, data analytics, remote sensing, GIS, and/or hydrology to join our team. This multi-institutional research program spans five institutions across the state of New Mexico including collaboration with Sandia National Laboratory. The project aims to improve management of New Mexico's forested watersheds by addressing key gaps in understanding of water and carbon dynamics in relation to forest management. Duties include collating and managing data with version-controlled programmatic workflows in R and/or Python, including large volumes of high-frequency sensor data and model outputs; working with investigators to design and deliver data products to open access repositories; and training participants to track and quality control data. Interest in participating in field work as approximately 15% of duties is strongly desired. Expertise in working with environmental sensor data and geospatial data (including remote sensing products) is required. This position will be based at the University of New Mexico in Albuquerque, NM. Partial but not fully remote work options can be considered for exceptional candidates. The position will start as soon as possible and will be hired on a 1-year contract, with the expectation of renewal for additional years pending satisfactory performance. The position's online application is open and applications will be reviewed on a rolling basis. See the Position Description for additional information.
Requirements
- Bachelor's degree
- at least 3 years of experience directly related to the duties and responsibilities specified
- Expertise in working with environmental sensor data and geospatial data (including remote sensing products)
Nice To Haves
- Masters in ecology, data analytics, remote sensing, GIS, hydrology, or closely related field
- Previous experience working with large datasets
- Experience working collaboratively with a team of scientists across multiple institutions
- Experience with numerical modeling, remote sensing, and/or environmental sensors
- Excellent English verbal communication skills
- Experience with programming in R and/or Python, and collaborative version-controlled workflows including Git and/or Jupyter Notebooks
- Experience with developing data processing pipelines using R and/or Python
Responsibilities
- collating and managing data with version-controlled programmatic workflows in R and/or Python, including large volumes of high-frequency sensor data and model outputs
- working with investigators to design and deliver data products to open access repositories
- training participants to track and quality control data
- participating in field work as approximately 15% of duties
Benefits
- This is a benefits eligible position.
- eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Educational Services
Number of Employees
101-250 employees
