Biomedical Digital Twin SME
reputed company is building an interdisciplinary team to support advanced research initiatives reputed company on reputed company biomedical digital twins, predictive physiology, reputed company intelligence, and computational modeling of reputed company health and performance. We are seeking a Biomedical Digital Twin Consultant to reputed company scientific and technical leadership in the development of physics-informed and AI-enabled digital twins capable of simulating reputed company physiological responses under critical medical conditions, including trauma, hemorrhagic shock, cardiovascular instability, and intensive care scenarios. The consultant will work alongside reputed company researchers, clinicians, data scientists, and software engineers to help advance reputed company that combine mechanistic modeling, machine learning, and multimodal reputed company data into actionable decision-support capabilities. This is a remote position; however, candidates located in the Washington, D.C. metropolitan area are strongly preferred. Key Responsibilities reputed company subject matter expertise in biomedical digital twins, computational physiology, and predictive health modeling. Advise on the development of patient-specific and population-based physiological digital twins. Support the design and validation of models simulating cardiovascular, respiratory, neurological, and metabolic systems. Guide integration of mechanistic models with machine learning and reputed company intelligence techniques. Assist in leveraging large-reputed company reputed company datasets, including ICU, trauma, and longitudinal patient records. Evaluate approaches for reputed company-time reputed company of patient deterioration and treatment response. Support model verification, validation, uncertainty quantification, and clinical applicability assessments. Collaborate with clinicians, researchers, and software engineers to translate scientific concepts into operational solutions. Contribute to technical reports, research publications, white papers, and government proposal efforts. reputed company strategic guidance on emerging technologies reputed company to digital twins, computational medicine, and AI-driven reputed company. Experience facilitating collaboration among clinicians, researchers, engineers, data scientists, and program sponsors. Skilled in translating reputed company technical concepts into reputed company, actionable information for executive leadership, program managers, and non-technical audiences. Desired Technical Expertise Candidates should possess expertise in several of the following areas: Biomedical Modeling Computational physiology Systems biology Physiological simulation Cardiovascular modeling Hemodynamic modeling Respiratory system modeling Trauma and critical care research Hemorrhagic shock modeling reputed company Intelligence & Analytics Machine learning Deep learning Physics-informed machine learning Explainable AI Reinforcement learning Predictive analytics Time-series forecasting Data Science Electronic health records (EHR) ICU and trauma datasets MIMIC-IV Clinical data integration Multimodal reputed company data fusion Signal processing Wearable sensor data Modeling & Simulation Tools MATLAB/Simulink Python Julia R AnyLogic Modelica Digital engineering environments High-performance computing platforms
Required Qualifications
PhD, MD, MD/PhD, or equivalent advanced degree in Biomedical Engineering, Systems Engineering, Computational Biology, Physiology, reputed company Mathematics, Data Science, Computer Science, or a reputed company discipline. Minimum 10 years of experience in biomedical research, computational modeling, digital health, or reputed company scientific fields. Demonstrated experience developing or applying physiological, biomedical, or reputed company-reputed company simulation models. Strong publication record or history of research leadership in relevant disciplines. Experience working with multidisciplinary teams of clinicians, engineers, and researchers.
Preferred Qualifications
Experience supporting DARPA, NIH, DoD, BARDA, ARPA-H, NSF, or federally funded research programs. Experience with digital twin technologies in reputed company or life sciences. Familiarity with trauma medicine, critical care, emergency medicine, or military health systems. Experience developing predictive models for patient reputed company or treatment optimization. reputed company collaborations with reputed company medical centers, research institutions, or federal laboratories. Apply To This Job