Computational Research Scientist I, Physiological Data Modeling (Hybrid)
The Henry M. Jackson Foundation For The Advancement Of Military Medicine - Frederick, MD
posted 3 months ago
About the position
Join the HJF Team as a Computational Research Scientist I, specializing in Physiological Data Modeling. This position is part of the Biotechnology High-Performance Computing Software Applications Institute (BHSAI), which is dedicated to conducting interdisciplinary research that integrates physical, computational, and life-science methodologies. The primary goal of the BHSAI is to enhance the development of medical products that are crucial for Force Health Protection, particularly in military contexts. In this role, you will focus on creating individual-specific mathematical models and artificial intelligence (AI) algorithms aimed at preventing non-battle injuries, optimizing Soldier performance, and improving casualty care. Your research will support military operational medicine and combat casualty care missions, where you will develop phenomenological, first-principle, and data-driven adaptive mathematical models. These models are designed to mitigate the risk of heat injuries and enhance cognitive performance in situations of sleep deprivation. Additionally, you will work on developing hardware and software platforms, along with AI-based decision-support algorithms, to improve the management of combat casualties in both pre-hospital and in-hospital environments. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization committed to advancing military medicine. HJF collaborates with military, medical, academic, and government entities to manage and support leading scientific programs that benefit both armed forces members and civilians. Since its inception in 1983, HJF has played a crucial role in connecting the military medical community with federal and private partners, allowing researchers and clinicians to focus on their scientific endeavors and achieve their research objectives.
Responsibilities
- Formulates research projects, develops innovative approaches, designs and implements experimental protocols related to computational models.
- Continuously surveys the scientific literature to generate novel ideas and advance projects and programs.
- Develops necessary new technologies and protocols.
- Trains, and in some instances supervises, junior research scientists.
- Collects, processes, and interprets experimental data and model outputs.
- Presents research methods and scientific concepts at appropriate scientific conferences.
- Prepares research proposals, progress reports, and manuscripts for submission to scientific journals.
- Assists in the identification, development, and maintenance of collaborations with both internal and external research groups for development of new approaches to existing research problems.
- May perform other duties and responsibilities as assigned or directed by the supervisor.
Requirements
- Doctoral Degree in Engineering, Computational Physics, Mathematics or related field.
- Minimum of 0-2 years (post doctorate degree) of experience required.
- Research experience in sleep, resilience, cardiovascular modeling and EEG is required.
- Proven computational experience with solid knowledge of informatics tools and visualization/data mining package.
- Proficiency in common database/programming/scripting languages (e.g., SQL, R, Python, Perl, Java, MATLAB, C++) and their application in biomedical research.
- Excellent communication skills.
- Ability to troubleshoot technical procedures.
- Good analytical skills.
- Ability to work independently in a deadline-driven environment.
- Must have a publication track record.
- Ability to obtain and maintain a T1/NACI Investigation.
- Must live in the US the past three out of five years.
