Senior Scientific Data Analyst - MATLAB & Time-Series

Chenega Agile Real Time Solutions, LLC; Ozark (AL); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Benefits program

Promotion opportunities

Job summary

Chenega Services & Federal Solutions, LLC is seeking a Scientific Data Analyst 3 to support the Injury Biomechanics and Protection Group (IBP) of USAARL. The role focuses on data acquisition, management, and analysis using MATLAB and custom tools, with emphasis on reproducibility and high-quality results.

The candidate will work with engineers, physicians, and researchers, contributing to draft plans, data preparation, and statistical analysis in a collaborative, fast-paced environment, often

Qualifications

• Experience in numerical methods programming, data acquisition, and use of MATLAB, including MATLAB specialty toolboxes such as work with images, signals, and statistics.
• Must be able to obtain and maintain a state-issued driver’s license for independent travel to restricted meetings and field-data collection locations.
• May work variable work hours to meet performance requirements (e.g., proposal and reporting deadlines, collaborations, and lab and field data collections), including occasional night and weekend hours.
• Obtain and maintain Associate Investigator credentials.

Responsibilities

• Provide scientific analytical services related to data acquisition, data management, and data analysis according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results.
• Acquire, manage, and analyze data obtained from instrumentation, high speed video, medical images, or engineering and medical databases.
• Provide scientific analytical services related to data analysis, data scientific and engineering quality assessment, and data management according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results.
• Perform analysis on large time series engineering/research data by writing and/or developing algorithms and processing data through COTS and/or custom analysis software.
• Use, develop, and evaluate recommendations on Best Practices of data management, file structures, and relational databases.
• Develop and update appropriate analysis documentation, and store documents and data in accordance with applicable regulations and procedures.
• Ensure that plans and execution of analysis meets all applicable regulations, guidance, and procedures.
• Provide scientific analytical services by applying the principles of statistics, numerical methods, signal processing, research, dynamics, kinematic motion analysis, and programming.
• Provide understanding of data use and analysis needs to a multi-disciplinary team including engineers, physicians, computer scientists, database developers, data entry clerks, data quality assessors, and other biomedical researchers.
• Provide services related to the Injury Biomechanics RDT&E efforts, including the development of draft test plans and protocol documentation from literature reviews along with the collection and preparation of data for analysis and synthesis according to policy and procedures of the USAARL.
• Work under the guidance of the Principal Investigator, Team Chief, and Group Leadership, using knowledge and training to plan and accomplish research tasks and goals.
• Work within a research team with a small team of junior data analysts to accomplish RDT&E objectives, but work independently with minimal direction to solve analytic and technical problems.
• Other duties as assigned.

Skills

MATLAB

Data analysis

Data acquisition

Numerical methods

Statistics

Education

STEM degree

Tools

MATLAB

Job description

Chenega Services & Federal Solutions, LLC is seeking a Scientific Data Analyst 3 to support the Injury Biomechanics and Protection Group (IBP) of USAARL. The role focuses on data acquisition, management, and analysis using MATLAB and custom tools, with emphasis on reproducibility and high-quality results.

The candidate will work with engineers, physicians, and researchers, contributing to draft plans, data preparation, and statistical analysis in a collaborative, fast-paced environment, often