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Phd In Exercise Science Jobs in Queens, NY (NOW HIRING)

Required Qualifications • PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related quantitative discipline. • 8-12 years of hands-on ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

Exercise Specialist 1

New York, NY · On-site +1

$20.30 - $27.41/hr

Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect ... Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 500284 Fitness Science Work ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

Strong foundation in exercise science, program design, and safe, effective movement coaching. Effective communication and relationship-building skills, with the ability to motivate, instruct, and ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

... in exercise science, kinesiology, or a similar field. Demonstrated ability to build and grow a client base through a high-quality training experience and consistent client resultsSales mindset with ...

Showing results 41-60

Phd In Exercise Science information

See Queens, NY salary details

$13

$29

$49

How much do phd in exercise science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for phd in exercise science in Queens, NY is $29.59, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $35.38 per hour, depending on experience, location, and employer.

What is a PhD in Exercise Science?

A PhD in Exercise Science is the highest academic degree focused on the scientific study of physical activity, exercise, and their impact on health, performance, and disease prevention. This program typically involves advanced coursework, research, and a dissertation, preparing graduates for careers in academia, research, clinical settings, or leadership roles in health and fitness industries. Students often specialize in areas like physiology, biomechanics, nutrition, or public health. The degree emphasizes both theoretical knowledge and practical application, equipping graduates to contribute new knowledge to the field.

What are the key skills and qualifications needed to thrive as a PhD in Exercise Science?

To thrive as a PhD in Exercise Science, you need advanced knowledge of physiology, biomechanics, and research methodologies, typically supported by a doctoral degree in exercise science or a related field. Proficiency in statistical analysis software (such as SPSS or R), laboratory equipment, and research design tools is essential. Strong communication, critical thinking, and project management skills distinguish top professionals in this field. These competencies are crucial for conducting impactful research, publishing findings, and advancing knowledge in exercise science.

What types of interdisciplinary collaboration can I expect as a PhD in Exercise Science?

As a PhD in Exercise Science, you will frequently collaborate with professionals across diverse fields, such as physical therapy, nutrition, public health, biomechanics, and even psychology. These collaborations are common in both academic research and applied settings, such as hospitals, sports organizations, or corporate wellness programs. Working on multidisciplinary teams allows you to contribute your expertise while gaining insights from other disciplines, leading to more comprehensive research and impactful interventions. This environment also offers rich opportunities for networking and career growth.

What is the difference between Phd In Exercise Science vs Exercise Physiologist?

AspectPhd In Exercise ScienceExercise Physiologist
Required CredentialsDoctorate degree (PhD), research experienceBachelor's or Master's degree, certification (e.g., ACSM)
Work EnvironmentResearch labs, academia, healthcare researchClinics, fitness centers, hospitals
Employer & Industry UsageUniversities, research institutions, healthcare organizationsRehabilitation centers, sports teams, wellness facilities
Common Search & Comparison IntentAcademic/research careers, advanced roles in exercise scienceClinical practice, fitness, rehabilitation

The main difference between a Phd In Exercise Science and an Exercise Physiologist lies in their focus and career paths. A PhD is research-oriented, often leading to academic or scientific roles, while an Exercise Physiologist works directly with clients in clinical or fitness settings. Both roles require knowledge of exercise science, but their work environments and career goals differ significantly.

Is it worth getting a PhD in exercise science?

A PhD in exercise science prepares individuals for research, academia, and advanced clinical roles, often requiring strong analytical skills and knowledge of physiology and biomechanics. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. Career advancement depends on the individual's goals and the demand for expertise in the field.

What can I do with a PhD in exercise science?

A PhD in exercise science prepares individuals for careers in research, academia, and advanced clinical roles such as sports performance specialist or exercise physiologist. Graduates often work in universities, research institutions, healthcare settings, or sports organizations, utilizing skills in data analysis, program development, and scientific communication.

What cities near Queens, NY are hiring for Phd In Exercise Science jobs?

Cities near Queens, NY with the most Phd In Exercise Science job openings:

Infographic showing various Phd In Exercise Science job openings in Queens, NY as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $61,538 per year, or $29.6 per hour.

PHD AI/ML Data Scientist

Compunnel

New York, NY • On-site

Contractor

Re-posted yesterday


Job description

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Job Summary
We are seeking a highly skilled PhD-trained AI/ML Data Scientist with strong expertise in Python, Artificial Intelligence, Machine Learning, advanced data modeling, and statistical analysis. The ideal candidate will have extensive experience designing, developing, validating, and deploying scalable AI/ML solutions to address complex business challenges.
Key Responsibilities
• Design, develop, and deploy advanced AI/ML models using Python.
• Build predictive and statistical models to solve complex business problems.
• Analyze large and complex datasets to identify patterns and derive actionable insights.
• Develop, validate, optimize, and deploy machine learning algorithms in production environments.
• Translate business requirements into scalable AI-driven solutions.
• Collaborate with cross-functional teams throughout the AI/ML solution development lifecycle.
• Evaluate model accuracy, scalability, reliability, and performance.
• Continuously optimize existing models and machine learning solutions.
• Apply advanced data modeling and statistical techniques to support business objectives.
• Stay current with emerging AI/ML technologies, methodologies, and industry best practices.
Required Qualifications
• PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• 8-12 years of hands-on experience in AI/ML and Data Science.
• Strong proficiency in Python.
• Strong expertise in Artificial Intelligence and Machine Learning.
• Advanced knowledge of data modeling, statistical analysis, and predictive modeling.
• Experience developing, validating, and deploying machine learning models.
• Proven experience delivering scalable AI solutions within enterprise environments.
• Strong analytical and problem-solving skills.
• Excellent communication and cross-functional collaboration skills.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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