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

Sr Electrical Engineer

Rochester, NY · On-site

$86.48K - $129.72K/yr

The candidate will be working independently with scientists and engineers from other disciplines in ... The successful candidate should have a PhD in Electrical Engineering and 3 years of experience or ...

... Master's/PhD in Electronics Engineering or Physics (post-degree experience a plus). Applicable Knowledge, Skills and Abilities Required: * Solid experience in Python scripting using scientific ...

Precision Optics Development Engineer

Fairport, NY · On-site

$119.54K - $164.37K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... MS or PhD in optics, physics, or a related STEM field * Experience with EUV or X-ray optics ...

... data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 2 years industry experience (post Masters or PhD) in a ...

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Development Manager, Optical Metrology

Fairport, NY · On-site

$147.04K - $202.18K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... PhD in Optics, Physics, Engineering, or a related field * 8+ years of experience in optical ...

Development Manager, Optical Fabrication

Fairport, NY · On-site

$147.04K - $202.18K/yr

... in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of ... PhD in Optics, Physics, Engineering, or a related field * 8+ years of experience in optical ...

Development Manager, Optical Metrology

Fairport, NY · On-site

$147.04K - $202.18K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... PhD in Optics, Physics, Engineering, or a related field * 8+ years of experience in optical ...

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Phd In Exercise Science information

See Rochester, NY salary details

$12

$27

$46

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

As of Jun 3, 2026, the average hourly pay for phd in exercise science in Rochester, NY is $27.98, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $33.46 per hour, depending on experience, location, and employer.

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

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 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 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.

What cities near Rochester, NY are hiring for Phd In Exercise Science jobs? Cities near Rochester, NY with the most Phd In Exercise Science job openings:
Medical Engineer

Other

Posted 4 days ago


Job description

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORET‑based UTE imaging (non‑Cartesian) in collaboration with Cincinnati Children’s Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subject‑matter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development – Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and on‑scanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / Non‑Cartesian)

  • Implement and validate non‑Cartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children’s teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendor‑specific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including non‑Cartesian methods, and software engineering.
  • Hands‑on experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprint‑based execution models.

Preferred

  • Master’s or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.