2027 Resource Planning and Biometrics Intern

Summary

American Forest Management, Inc. provides forest planning and biometric services that support land management and forest investment decisions. The Resource Planning and Biometrics Intern will apply data science, programming, statistical, and geospatial methods to analyze forest data, develop models, automate processes, and support forest management decisions.

Responsibilities

• Apply advanced analytical tools such as R and Python to manipulate, analyze, and visualize complex forest and remotely sensed data
• Work with standard data structures and formats (Postgres, SQL, Excel, etc.) to clean, organize, and process large datasets
• Develop and test forest growth models, predictive analytics, and decision-support tools to enhance forest management strategies
• Automate complex processes using R, Python, and other relevant platforms
• Integrate geospatial data (e.g., Sentinel-2, LiDAR) into forest planning and/or forest growth models
• Collaborate with experienced biometricians and forest planners to address complex forest management challenges
• Build creative and effective solutions that drive better decisions in forest inventory, silviculture, harvesting, and growth modeling
• Share insights and tools with the team to build collective capacity

Skills

• Bachelor's degree in **forestry, geospatial sciences, or a related field**
• Experience with **forest systems** (metrics and silviculture) at a bachelor's level or higher
• Strong programming skills in **R** and/or **Python** (bonus: if you also work in derivatives such as Jupyter Notebooks, or R Shiny)
• Solid understanding of **statistics** and **quantitative methods**. Ability to manage large, messy datasets
• Familiarity with GIS software (QGIS, ESRI), forest growth and yield models (Forest Vegetation Simulator, FVS), or linear programming software (Woodstock Optimization Studio)
• Strong problem-solving skills and creativity
• Growth mindset
• Ability to work in teams and collaborate with various groups across AFM
• Professional integrity, someone who does the right thing even when no one is looking
• Ability to work both independently and as part of a team
• Candidates must be authorized to work in the U.S. at the time of application
• Working toward a **master's degree** (or higher) preferred, ideally in biometrics or a quantitative forestry discipline

Qualifications

Must Haves

• Bachelor's degree in **forestry, geospatial sciences, or a related field**
• Experience with **forest systems** (metrics and silviculture) at a bachelor's level or higher
• Strong programming skills in **R** and/or **Python** (bonus: if you also work in derivatives such as Jupyter Notebooks, or R Shiny)
• Solid understanding of **statistics** and **quantitative methods**. Ability to manage large, messy datasets
• Familiarity with GIS software (QGIS, ESRI), forest growth and yield models (Forest Vegetation Simulator, FVS), or linear programming software (Woodstock Optimization Studio)
• Strong problem-solving skills and creativity
• Growth mindset
• Ability to work in teams and collaborate with various groups across AFM
• Professional integrity, someone who does the right thing even when no one is looking
• Ability to work both independently and as part of a team
• Candidates must be authorized to work in the U.S. at the time of application

Nice to Haves

• Working toward a **master's degree** (or higher) preferred, ideally in biometrics or a quantitative forestry discipline

Benefits

• Opportunity to compete for a $2,500 scholarship, awarded to an intern who demonstrates outstanding performance, initiative, and alignment with company values throughout the program.
• Exposure to complex forest management data and real-world decision-making
• Opportunity to work with a team of forestry professionals who are passionate about sustainable management
• The chance to make a real impact on how forests are managed
• Remote work option from Charlotte, NC or remote
• Flexible start and end date