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Remote Exercise Science Research Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Sr Data Scientist

Remote Summary: The main function of the Data Scientist is to produce innovative solutions driven ... Skills: * 3 years minimum in data science/research * Experienced in either programming languages ...

DLH

Research Analyst (Non-Data) (Job 1370)

$50K - $70K/yr

... through science research and development, systems engineering and integration, and digital ... This position is 100% remote. However, employees may be required to attend occasional in-person ...

MedSchoolCoach

Research Mentor

Boston, MA · Remote

$75 - $100/hr

The MedSchoolCoach Research Mentorship Program is a fully virtual opportunity designed to help high ... Sciences Compensation & Work Structure: $75-$100 per mentorship session Fully Remote (Must have ...

DLH

Research Analyst (Non-Data) (Job 1370)

OR · On-site +1

$50K - $70K/yr

... through science research and development, systems engineering and integration, and digital ... This position is 100% remote. However, employees may be required to attend occasional in-person ...

MedSchoolCoach

Research Mentor

Boston, MA · On-site +1

$75 - $100/hr

The MedSchoolCoach Research Mentorship Program is a fully virtual opportunity designed to help high ... Sciences Compensation & Work Structure: $75-$100 per mentorship session Fully Remote (Must have ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... remote sensing and field data. This role specifically is for the internal development of data ... PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site +1

$48K - $110K/yr

Possible consideration of a request for a fully remote work schedule, subject to approval and ... Responsibilities Research Scientist, I Design and conduct experimental research and investigations ...

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Remote Exercise Science Research information

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$28K

$90.4K

$154K

How much do remote exercise science research jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote exercise science research in the United States is $90,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $98,500.00 per year, depending on experience, location, and employer.

How does a remote exercise science research role typically collaborate with other team members and departments?

In a remote exercise science research role, collaboration is often facilitated through digital communication platforms such as video conferencing, shared documents, and project management tools. Team members regularly coordinate with colleagues from other disciplines—like data analysts, clinicians, and project managers—to design studies, analyze results, and publish findings. Effective communication and self-motivation are key, as you may be working across different time zones and with limited in-person interaction. Regular virtual meetings and collaborative platforms help maintain workflow and ensure research projects stay on track.

What are the key skills and qualifications needed to thrive as a Remote Exercise Science Researcher, and why are they important?

To thrive as a Remote Exercise Science Researcher, you need a solid background in exercise physiology, research methods, and data analysis, usually supported by a relevant degree such as exercise science or kinesiology. Familiarity with statistical analysis software (like SPSS or R), online survey tools, and literature databases is typically required. Strong written communication, time management, and self-motivation are important soft skills for remote collaboration and independent work. These skills and qualities are essential for conducting rigorous research, producing credible scientific findings, and effectively contributing to remote teams.

What is remote exercise science research?

Remote exercise science research involves studying human movement, fitness, and physical activity using digital tools and technologies without requiring in-person interaction. Researchers may collect data through wearable fitness trackers, online surveys, video conferencing, or remote monitoring devices. This approach allows for broader participant recruitment, flexible study designs, and safer data collection, especially when in-person research is not feasible. Remote research in exercise science can be used in fields like rehabilitation, sports performance, and public health.
What cities are hiring for Remote Exercise Science Research jobs? Cities with the most Remote Exercise Science Research job openings:
What states have the most Remote Exercise Science Research jobs? States with the most job openings for Remote Exercise Science Research jobs include:
Remote Exercise Science Research jobs near you

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Tamus

Corpus Christi, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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