Scientific Data Analyst III - 176 - 176730 - 177673

Piper Companies; Ozark (AL); On-site; USD 98,000 - 108,000; Full time

Benefits offered by this job

Full benefits package

Job summary

Piper Companies is seeking a Scientific Data Analyst III to support USAARL initiatives onsite at Fort Novosel, AL. The role focuses on acquiring, managing, and analyzing engineering, medical, and research datasets from multiple sources using MATLAB and related toolboxes.

You will develop algorithms, perform statistical analyses, ensure data quality, and document procedures while collaborating with engineers, physicians, and researchers to advance biomechanics and medical data projects.

Qualifications

• Bachelor’s degree in a STEM-related field is required.
• Experience with MATLAB, numerical methods programming, and data analysis.
• Background in data acquisition, signal processing, or scientific research environments.
• Ability to analyze large datasets and develop custom analytical solutions.
• Ability to obtain and maintain Associate Investigator credentials.
• Valid driver's license and ability to travel as required.
• Ability to pass background and drug screening.

Responsibilities

• Acquire, manage, and analyze engineering, medical, and research datasets from multiple sources.
• Develop algorithms and perform statistical analyses using MATLAB and related toolboxes.
• Support data acquisition, signal processing, and quality assessment activities.
• Maintain databases, file structures, and documentation to ensure reproducibility and compliance.
• Collaborate with engineers, physicians, researchers, and technical stakeholders.
• Prepare reports, presentations, analysis plans, and technical documentation.
• Support biomechanics research, field data collection efforts, and inspection of research data quality.

Skills

MATLAB

Data analysis

Signal processing

Numerical methods

Education

Bachelor's degree in STEM

Job description

Scientific Data Analyst III

Job Summary:

Piper Companies is seeking a Scientific Data Analyst III to support a company supporting the U.S. Army Aeromedical Research Laboratory (USAARL). This position is onsite in Fort Novosel, AL.

Responsibilities for the Scientific Data Analyst III include:

• Acquire, manage, and analyze engineering, medical, and research datasets from multiple sources
• Develop algorithms and perform statistical analyses using MATLAB and related toolboxes
• Support data acquisition, signal processing, and quality assessment activities
• Maintain databases, file structures, and documentation to ensure reproducibility and compliance
• Collaborate with engineers, physicians, researchers, and technical stakeholders
• Prepare reports, presentations, analysis plans, and technical documentation
• Support biomechanics research, field data collection efforts, and inspection of research data quality

Required Qualifications for the Scientific Data Analyst III include:

• Bachelor's degree in a STEM-related field
• Experience with MATLAB, numerical methods programming, and data analysis
• Background in data acquisition, signal processing, or scientific research environments
• Ability to analyze large datasets and develop custom analytical solutions
• Ability to obtain and maintain Associate Investigator credentials
• Valid driver's license and ability to travel as required
• Ability to pass background and drug screening

Compensation for the Scientific Data Analyst III includes:

• Salary Range: $98,000k - $108,000k annually
• Full Benefits Package: provided in interview process

This Job opens for applications on November 2, 2026. Applications for this job will be accepted for at least 30 days from the posting date.

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Keywords: Scientific Data Analyst, Data Analysis, MATLAB, Signal Processing, Numerical Methods, Biomechanics, USAARL, Research and Development, Data Acquisition, Medical Data, Engineering Data, Statistics, Algorithms, Database Management, High Speed Video, Scientific Research, RDT&E, Fort Novosel, Army Research, Data Management, Technical Reports, Injury Biomechanics, Clinical Research, Quality Assurance, Analytics