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Phd In Exercise Science Jobs in Fort Wayne, IN (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Fort Wayne, IN · Remote

$80 - $110/hr

... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ... for scientific analysis. * Demonstrated ability to clearly communicate complex chemical and ...

micro1 AI

Medical Writing Manager

Fort Wayne, IN · Remote

$50 - $80/hr

Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience. * Experience across multiple clinical phases and therapeutic areas ...

micro1 AI

Medical Billing Specialist

Fort Wayne, IN · Remote

$50 - $80/hr

Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience. * Experience across multiple clinical phases and therapeutic areas ...

Saic

Senior Database Engineer

Fort Wayne, IN · On-site

$120 - $150/hr

OR * Master's degree in computer science, engineering, or a related technical field with 12+ years of relevant experience; OR * PhD/JD in a relevant technical field with 9+ years of experience in ...

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Phd In Exercise Science information

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$11

$25

$43

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

As of Aug 16, 2026, the average hourly pay for phd in exercise science in Fort Wayne, IN is $25.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $31.01 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.

How much can you make with a PhD in exercise science?

A PhD in exercise science can lead to salaries ranging from $50,000 to over $100,000 annually, depending on the role, experience, and work setting such as research institutions, universities, or healthcare organizations. Advanced positions like research directors or university faculty tend to offer higher compensation, especially with additional certifications or specialized skills.

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 industry, experience, and additional certifications such as ACSM or NSCA credentials.

What can I do with a PhD in exercise science?

A PhD in exercise science prepares individuals for careers in research, academia, sports performance, and health promotion. Graduates often work as university professors, exercise physiologists, sports scientists, or in clinical settings, utilizing skills in data analysis, program development, and scientific communication.

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Cities near Fort Wayne, IN with the most Phd In Exercise Science job openings:

Phd In Exercise Science jobs near you

Bioinformatics Software Engineer

micro1 AI

Fort Wayne, IN • Remote

$80 - $110/hr

Part-time

Posted 13 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. 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. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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