Kinesiologist

Piper Companies is looking for a Kinesiologist to join an organization supporting medical research located in Fort Novosel, AL. The Kinesiologist will support projects focused on human injury through human performance, endurance, fatigue, and pre-injurious biomarkers from the field of kinesiology.

Responsibilities of the Kinesiologist include:

• Assist with scientific and administrative tasks to support the Injury Biomechanics and Protection Group’s objectives, particularly research into human performance, fatigue, endurance, and injury biomarkers
• Support and lead laboratory and off-site field studies, including study preparation, data collection, and study execution
• Participate in technical planning sessions and program reviews, assisting in the absence of the Project Principal Investigator (PI)
• Contribute to project planning, documentation, and equipment readiness, ensuring adherence to research protocols and test plans

Qualifications for the Kinesiologist include:

• 2+ years of experience in biomedical engineering or clinical research
• Knowledge of biomechanics, mathematics, and scientific programming, with proficiency in MATLAB
• Bachelor’s Degree or Master's degree in a related field (e.g., kinesiology, exercise science, electrical, biomedical, mechanical, biomechanics, or physics

Compensation for the Kinesiologist includes:

• Salary Range: $75,000 - $90,000 **depending on experience**
• Comprehensive Benefit Package: Medical/Dental/Vision, 401k

Keywords: Research associate, RA, medical research, biomechanics, human performance, kinesiology, injury biomechanics, protection group, fatigue, endurance, injury biomarkers, field studies, scientific programming, MATLAB, engineering, structural engineer, biomedical engineering, mechanical engineering, biomechanical engineering, physics, musculoskeletal system, nerves, kinematics, and sensor systems, Human Subject Research, cadaveric research, exercise science, injury, VICON, range of motion, human range of motion, motion tracking, EMG, electromyography, muscles, electrical activity, statistical analysis, ANOVA, SPSS, t-tests, exercise science data, pre-injurious

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