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Exercise Science Research Jobs in Dallas, TX (NOW HIRING)

Equinox

Personal Trainer Internship, Plano

Plano, TX · On-site

Research the following conditions: Hypertension, Diabetes, Pregnancy, CVD with points on cause ... Exercise Science, Kinesiology, Physical Education, Personal Training, or other applicable majors ...

Yum Brands

Sr. Data Scientist

Plano, TX · On-site

$117K - $132K/yr

... exist, exercise strong judgment in choosing methods, and create or significantly improve the ... Advanced degree in Statistics, Mathematics, Economics, Data Science, Operations Research, or a ...

Pizza Hut

Sr. Data Scientist

Plano, TX

$117K - $132K/yr

... exist, exercise strong judgment in choosing methods, and create or significantly improve the ... Advanced degree in Statistics, Mathematics, Economics, Data Science, Operations Research, or a ...

BakerHostetler

Patent Scientist

Dallas, TX

$70K - $75K/yr

Bachelor's degree in Computer Science required. * Advanced degree and/or relevant industry ... Strong research, analytical, and technical writing skills. * Intellectual curiosity and an interest ...

BakerHostetler

Patent Scientist

Dallas, TX · On-site

$70K - $75K/yr

Bachelor's degree in Computer Science required. * Advanced degree and/or relevant industry ... Strong research, analytical, and technical writing skills. * Intellectual curiosity and an interest ...

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Showing results 41-60

All JobsExercise Science Research JobsExercise Science Research Jobs in Dallas, TX

Exercise Science Research information

See Dallas, TX salary details

$27.7K

$89.4K

$152.3K

How much do exercise science research jobs pay per year?

As of Aug 14, 2026, the average yearly pay for exercise science research in Dallas, TX is $89,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $97,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in exercise science research, and how can they be overcome?

Professionals in Exercise Science Research often encounter challenges such as recruiting and retaining study participants, ensuring data reliability, and managing complex interdisciplinary projects. Building strong relationships with local communities and athletic organizations can improve participant engagement. Additionally, collaborating closely with colleagues from nutrition, physiology, and medical backgrounds helps ensure comprehensive research design and analysis. Staying current with advancements in technology and research methodology also supports high-quality, impactful studies.

What is the difference between Exercise Science Research vs Exercise Physiologist?

AspectExercise Science ResearchExercise Physiologist
Required CredentialsBachelor's or Master's in Exercise Science or related field; research experience often preferredBachelor's or Master's in Exercise Physiology; certification (e.g., ACSM) often required
Work EnvironmentLaboratories, universities, research institutionsClinics, hospitals, fitness centers, sports facilities
Employer & IndustryAcademic institutions, research organizations, government agenciesHealthcare providers, fitness industry, sports teams
Common Search & Comparison IntentUnderstanding research roles in exercise scienceCareer as a practicing exercise physiologist

Exercise Science Research focuses on conducting studies to advance knowledge in exercise and human performance, often within academic or research settings. In contrast, Exercise Physiologists apply exercise principles directly to improve health and fitness in clinical or fitness environments. Both roles require related educational backgrounds but differ in daily tasks and work settings.

What are the key skills and qualifications needed to thrive as an exercise science researcher?

To thrive as an Exercise Science Researcher, you need a solid background in physiology, biomechanics, and data analysis, usually supported by a relevant degree such as a master's or PhD in exercise science or a related field. Familiarity with laboratory equipment, statistical analysis software (like SPSS or R), and research methodologies is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for designing studies and sharing findings. These skills ensure rigorous research practices, accurate data interpretation, and impactful contributions to the advancement of exercise science.

What is exercise science research?

Exercise science research involves the systematic study of how physical activity, exercise, and sports impact human health, performance, and disease prevention. Researchers in this field investigate a range of topics including biomechanics, physiology, nutrition, psychology, and motor control. The goal is to understand how exercise affects the body and mind so that effective programs and recommendations can be developed for individuals and populations. Exercise science research is crucial for advancing knowledge in sports performance, rehabilitation, and overall health promotion.

What are popular job titles related to Exercise Science Research jobs in Dallas, TX?

For Exercise Science Research jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Exercise Science Research jobs in Dallas, TX look for?

The top searched job categories for Exercise Science Research jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Exercise Science Research jobs?

Cities near Dallas, TX with the most Exercise Science Research job openings:

Exercise Science Research jobs near you
Infographic showing various Exercise Science Research job openings in Dallas, TX as of August 2026, with employment types broken down into 83% Full Time, 4% Part Time, and 13% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $89,446 per year, or $43 per hour.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Irving, TX • Remote

$80 - $160/hr

Part-time

Posted 12 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply