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Remote Forest Biometrics Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... several years of biometric and plot level data for publication in peer-reviewed journals.

Remote Forest Biometrics information

What are Remote Forest Biometrics?

Remote Forest Biometrics refers to the use of remote sensing technologies and data analysis to measure and monitor forest characteristics, such as tree height, biomass, and carbon storage, without the need for extensive fieldwork. Professionals in this field use tools like LiDAR, satellite imagery, and drones to collect and interpret data from forests. This approach is increasingly important for large-scale forest management, conservation, and climate change studies, as it allows for efficient and accurate assessment of forest resources over wide areas. Remote forest biometrics specialists often collaborate with ecologists, foresters, and GIS analysts to support sustainable forest management and policy decisions.

What is the difference between Remote Forest Biometrics vs Forest Data Analyst?

AspectRemote Forest BiometricsForest Data Analyst
Required CredentialsDegree in forestry, ecology, or related field; GIS and statistical skillsDegree in environmental science, forestry, or data analysis; GIS and statistical skills
Work EnvironmentRemote, field data collection, GIS softwareOffice-based, data analysis, reporting
Industry UsageForestry, conservation, research projectsForestry, environmental consulting, research

Remote Forest Biometrics focuses on analyzing forest data remotely using GIS and statistical tools, often involving field data collection. Forest Data Analysts primarily interpret and analyze forest data in office settings. Both roles require similar credentials and serve overlapping industries, but their work environments and daily tasks differ.

What are some common challenges faced by professionals working in remote forest biometrics roles?

Professionals in remote forest biometrics often face challenges such as limited access to field sites, reliance on remote sensing technologies, and the need for strong data management skills. Working remotely can require collaboration with teams across different time zones, making communication and project coordination crucial. Additionally, ensuring the accuracy and reliability of biometric data collected from afar demands familiarity with advanced software and sometimes troubleshooting technical issues independently.

What are the key skills and qualifications needed to thrive as a Remote Forest Biometrics Specialist, and why are they important?

To thrive as a Remote Forest Biometrics Specialist, you need a solid background in forestry, statistics, and data analysis, typically supported by a degree in forestry, natural resources, or a related field. Proficiency with GIS software, remote sensing technologies, and statistical analysis tools like R or Python is generally required. Strong attention to detail, problem-solving abilities, and excellent communication skills help professionals interpret complex data and collaborate effectively with teams. These skills ensure accurate forest inventory assessments and support sustainable forest management decisions.
More about Remote Forest Biometrics jobs
What cities are hiring for Remote Forest Biometrics jobs? Cities with the most Remote Forest Biometrics job openings:
What are the most commonly searched types of Forest Biometrics jobs? The most popular types of Forest Biometrics jobs are:
What states have the most Remote Forest Biometrics jobs? States with the most job openings for Remote Forest Biometrics jobs include:
Infographic showing various Remote Forest Biometrics job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.
Part-time Research Assistant- Plant Pathology and Environmental Microbiology

Part-time Research Assistant- Plant Pathology and Environmental Microbiology

The Pennsylvania State University

On-site, Remote

Part-time

Posted 10 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Rosa lab (https://plantpath.psu.edu/directory/czr2) in the Department of Plant Pathology and Environmental Microbiology at The Pennsylvania State University seeks to hire part-time research assistants to support a collaboration between the Rosa Lab and USDA FS to assist with analysis and synthesis of findings of several years of biometric and plot level data for publication in peer-reviewed journals. Candidates should have a strong background in statistics and data analysis and should have strong communications skills. Furthermore, the candidates should have proven experience in experimental design, implementation, and execution of field experiments related to forest ecological research. The candidates should have a degree in evolution, ecology, organismal biology or in related fields.

The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

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Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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