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Remote Postdoc Jobs in Missouri (NOW HIRING)

Remote Postdoc information

See Missouri salary details

$23.4K

$55.4K

$78.3K

How much do remote postdoc jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote postdoc in Missouri is $55,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $62,400.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Remote Postdoc?

A Remote Postdoc typically spends their days conducting original research, analyzing data, writing and editing academic papers or grant proposals, and coordinating with supervisors or research collaborators via virtual meetings. Depending on the project and institution, you may also mentor junior researchers, participate in virtual seminars, and contribute to lab meetings online. Effective time management and regular communication are essential to staying aligned with broader research objectives while working remotely. The day-to-day structure can be flexible, allowing you to tailor your work schedule as long as project milestones and deadlines are met.

What are the key skills and qualifications needed to thrive in the Remote Postdoc position, and why are they important?

To excel as a Remote Postdoc, you need advanced research skills, a relevant doctoral degree (PhD or equivalent), and a strong background in your academic discipline. Familiarity with data analysis software, reference management tools, and remote collaboration platforms (like Zoom, Slack, or Google Workspace) is typically expected. Excellent written and verbal communication, self-motivation, and the ability to manage time independently are crucial soft skills for remote research roles. These competencies enable successful project execution, effective collaboration with research teams, and high productivity despite the remote work environment.

What is a Remote Postdoc job?

A Remote Postdoc job is a research position that allows postdoctoral researchers to work from a location outside a traditional academic or research institution. These roles typically involve conducting independent or collaborative research, writing publications, and contributing to projects remotely. They are often sponsored by universities, research institutions, or industry partners. Remote postdocs use digital communication tools to collaborate with advisors, colleagues, and research teams. This setup provides flexibility but requires strong time management and self-discipline.

What are the most commonly searched types of Postdoc jobs in Missouri? The most popular types of Postdoc jobs in Missouri are:
What are popular job titles related to Remote Postdoc jobs in Missouri? For Remote Postdoc jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Postdoc jobs in Missouri look for? The top searched job categories for Remote Postdoc jobs in Missouri are:
What cities in Missouri are hiring for Remote Postdoc jobs? Cities in Missouri with the most Remote Postdoc job openings:
Infographic showing various Remote Postdoc job openings in Missouri as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,363 per year, or $26.6 per hour.
Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

Lincoln University

Jefferson City, MO • On-site, Remote

Full-time

Posted 27 days ago


Job description

PURPOSE:

The Postdoctoral Research Associate will engage in research and development of a GeoAI-powered early warning system for forest health by integrating multi-source geospatial data, including satellite imagery, UAV-based LiDAR and multispectral data, and environmental datasets.

This position supports a USDA-NIFA funded project focused on detecting early indicators of forest stress, pest infestation, and environmental disturbances using advanced artificial intelligence and geospatial analytics. The role contributes to research, education, and extension activities in Missouri and supports the broader mission of advancing innovation in geospatial science and environmental monitoring.

ESSENTIAL JOB FUNCTIONS, DUTIES, & RESPONSIBILITIES:

  • Plan and implement research activities focused on early detection of forest stress, disturbance, and ecological change using geospatial analytics and artificial intelligence. 
  • Compile, collect, clean, and process geospatial and ancillary datasets from multiple sources, including satellite imagery, UAV-based LiDAR, multispectral imagery, and environmental data. 
  • Develop, train, and optimize GeoAI models using machine learning and deep learning techniques for spatial analysis and predictive modeling.
  • Validate GeoAI models through field verification and collaboration with the Missouri Ozark Forest Ecosystem Project (MOFEP). 
  • Develop decision-support tools and interfaces that translate complex geospatial outputs into usable information for stakeholders. 
  • Contribute to peer-reviewed publications, conference presentations, and technical documentation required for project deliverables. 
  • Mentor graduate and undergraduate students involved in research activities. 
  • Collaborate with interdisciplinary teams across research, extension, and education initiatives. 
  • Maintain accurate records of research activities, methodologies, and results. 
  • Perform other duties as assigned by the supervisor in support of project goals.

KNOWLEDGE, SKILLS, & ABILITIES:

  • Strong understanding of Geospatial Artificial Intelligence (GeoAI), including integration of machine learning and deep learning methods with geospatial and environmental datasets. 
  • Proficiency in programming languages such as Python or R, including experience with relevant libraries for data analysis, modeling, and visualization. 
  • Knowledge of spatial data processing, geostatistics, and remote sensing techniques. 
  • Familiarity with multi-source data integration and spatial modeling workflows. 
  • Experience working with geospatial software and tools such as GIS platforms, remote sensing tools, and data processing frameworks. 
  • Ability to interpret scientific data and translate findings into actionable insights. 
  • Strong analytical, problem-solving, and critical thinking skills. 
  • Effective written and verbal communication skills for technical and academic audiences. 
  • Ability to work both independently and collaboratively within interdisciplinary research teams. 
  • Strong organizational skills and ability to manage multiple tasks and deadlines.

QUALIFICATIONS:

  • Ph.D. in Geospatial Science, Geography, Remote Sensing, Data Science, Forestry, Environmental Science, or a closely related field.
  • Valid driver's license. 
  • Must have or be able to obtain a Remote Pilot Certificate (FAA Part 107). 
  • Demonstrated experience conducting independent research.
  • Ability to manage research timelines and deliverables within a grant-funded project.

PREFERRED QUALIFICATIONS:

  • Experience working with UAV or LiDAR data for environmental or forestry applications. 
  • Background in applying machine learning methods to geospatial or ecological datasets. 
  • Demonstrated record of peer-reviewed publications or scientific research dissemination.
  • Ability to work independently and manage projects with minimal supervision.
  • Strong organizational and problem-solving skills, particularly when working with large or complex datasets.
  • Experience collaborating across interdisciplinary teams.

PHYSICAL DEMANDS:

  • Work will be conducted in both office and outdoor field environments.
  • Fieldwork may involve walking in forested terrain and working in variable weather conditions.
  • Ability to lift and transport equipment weighing up to 40 pounds.
  • Ability to travel to research sites as needed.

This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Lincoln University. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility.