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Scientific Expedition Jobs (NOW HIRING)

College of Science and Education

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Faculty Adjunct-Biology

Laveen, AZ · On-site

$2.4K - $102K/yr

Opportunities for expedition travel while teaching at our Biological Stations in Costa Rica, Belize, Alpine, AZ and more. Company Description The College of Science and Education is a Christian ...

Rigid Tactical

... Expeditionary Warfare (EXW), Construction (CON), and Force Protection (FP) tactics, operations, and associated platform employment. * Bachelor's Degree (BS/BA) in science, engineering, management, or ...

Bowhead

Senior Data Scientist

Patuxent River, MD · On-site

... expeditionary, and surveillance systems that directly support warfighter operations. The Senior ... Scientist leads the development and implementation of advanced techniques and analytics ...

Prevailance

NEXWDC Doctrine Editor

Virginia Beach, VA · On-site

$80K - $90K/yr

Navy Expeditionary Warfighting Development Center (NEXWDC), Virginia Beach, VA Description: Provide ... Bachelor's degree required in science, engineering, management or other relevant field. Security ...

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How much do scientific expedition jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for scientific expedition in the United States is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.14 per hour, depending on experience, location, and employer.

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

Excelling in a Scientific Expedition role requires expertise in scientific fieldwork, data collection, and analysis, usually supported by a relevant science degree and field research experience. Familiarity with GPS equipment, environmental monitoring tools, laboratory techniques, and often certifications in wilderness first aid or safety protocols are important. Key soft skills include adaptability, teamwork, and strong problem-solving abilities, as expeditions often encounter unpredictable challenges. These competencies are crucial for ensuring research integrity, safety, and effective collaboration during demanding and dynamic fieldwork environments.

What is a Scientific Expedition job?

A Scientific Expedition job involves traveling to remote or specialized locations to conduct research and collect data in fields such as biology, geology, climate science, or archaeology. Scientists and researchers work in challenging environments, gathering samples, documenting findings, and analyzing ecological or geological patterns. These roles often require fieldwork experience, technical skills, and collaboration with teams of experts. Expeditions may be funded by universities, government agencies, or private organizations. The goal is to expand scientific knowledge and contribute to conservation, discovery, or policy development.

What can I expect from the daily work environment on a scientific expedition?

On a scientific expedition, your daily environment may include working outdoors in remote or challenging conditions, conducting research in diverse habitats, and living closely with a small team. Tasks can range from collecting biological samples and recording environmental data to maintaining equipment and troubleshooting field issues. Collaboration is essential, as you'll work alongside scientists, guides, and sometimes local communities to achieve research objectives. Flexibility is important, as schedules may shift due to weather or unexpected discoveries. Overall, the experience is both rigorous and rewarding, offering unique opportunities to contribute to scientific understanding.

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Scientific Expedition jobs near you
Infographic showing various Scientific Expedition job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 14% Part Time, 6% Temporary, and 3% Contract. Highlights an 100% In-person job distribution, with an average salary of $65,473 per year, or $31.5 per hour.
Software/Machine Learning Engineer - R123

Software/Machine Learning Engineer - R123

Expedition Technology

Herndon, VA • On-site

Other

Re-posted 22 days ago

Job description

Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things. We're looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered. We hire people who excel at what they do and empower them to innovate with flexibility and autonomy.
As a member of our team, you will:
  • work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks.
  • develop features, automated workflows and bug fixes for the system using Python 3, Docker, Kubernetes and AWS services.
  • collaborate with a team to develop deep learning architectures and pipelines for novel applications.
  • contribute to SDLC and coding best practices.
  • develop and design RESTful APIs and streaming services.
  • identify and resolve performance bottlenecks.

Does this sound like a challenge you'd like to embrace?
Here are some of the skills we are looking for:
  • United States Citizenship: Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance
  • Active Top Secret or higher security clearance (TS/SCI preferred)
  • BA/BS or higher in Computer Science, Computer Engineering or closely related field
  • At least 3 years + experience with backend development, ideally in AWS Cloud environments
  • Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability)
  • Some experience with integrating Kubernetes, Docker or other containerized ecosystems
  • Familiarity with object-oriented design and languages - emphasis on Python and Javascript
  • Some experience or interest in designing and implementing machine learning pipelines to deploy machine learning models in a containerized environment
  • Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting)
  • Configuration Management (CM) experience using Git and familiarity with branching strategies
  • Enjoy learning new technologies and creating compelling software
  • Work with minimum supervision as part of a collaborative, agile team

Apply