Hiring: Research Scientist (Blast Injury Research) Company: CFD Research Corporation Location: Huntsville, AL Job Posted Time: 2026-09-10 13:08:57 Employment Type: Full-time Target Skills & Keywords : Git, MATLAB, Machine Learning, Python, Regulatory Compliance About the job Required Skills: •Design, plan, and execute controlled blast overpressure exposure studies using preclinical large animal (e.g., swine) and other injury models •Specify, integrate, calibrate, and operate instrumentation for characterizing blast environments and biomechanical response, including pressure sensors, accelerometers, strain gauges, high-speed imaging, and high-rate data acquisition systems •Develop, submit, and maintain animal research protocols and ensure compliance with IACUC, USDA, and DoD (ACURO) requirements •Collect, curate, and analyze multiscale datasets spanning blast environment measurements, head and brain biomechanical response, and tissue-level, biochemical, and neurobehavioral outcomes •Partner with computational teams to deliver validation-quality experimental data for blast and injury simulation models •Support test and evaluation of personal protective equipment and blast mitigation strategies •Coordinate with veterinary, histopathology, and laboratory personnel to execute studies and outcome assessments •Contribute to development of laboratory capability, including facility and equipment planning, standard operating procedures, and data management practices Qualifications: •PhD in Biomedical Engineering, Biomechanics, Mechanical Engineering, Neuroscience, or a closely related field (or MS with equivalent relevant experience) •Demonstrated experience designing and executing experimental injury biomechanics, blast, or impact exposure studies •Applied hands-on capability in in vivo preclinical research models, including large animal (e.g., swine) models •Solid functional working knowledge of animal research regulatory compliance, including IACUC and USDA requirements; familiarity with ACURO review for DoD-funded work •Proficiency in Python and/or MATLAB for processing, analysis, and visualization of experimental datasets •Strong foundation in experimental design and statistical analysis •Demonstrated intellectual curiosity and a willingness to learn and apply new methods, tools, and scientific domains as project needs evolve •Excellent written and verbal scientific communication skills, with the ability to convey complex technical concepts and collaborate effectively in multidisciplinary teams •Proven ability to work independently, manage multiple projects, and troubleshoot complex technical challenges •Operational familiarity with computational modeling and model validation workflows (e.g., finite element or computational fluid dynamics injury models) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!