Research Scientist I or II (Mathematical Modeling) (Hybrid) – Biotechnology High Performance Computing Software Applications Ins (RESEA02185)
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HJF is seeking a Research Scientist I or II to support the Biotechnology High-Performance Computing Software Applications Institute (BHSAI), located in Frederick, MD. HJF provides scientific, technical, and programmatic support services to BHSAI.
NOTE: All HJF employees are required to be fully vaccinated against COVID-19. Proof of vaccination or an approved religious or medical accommodation will be required.
The mission of the BHSAI is to perform interdisciplinary research, combining physical, computational, and life-science research, to improve the efficiency and efficacy in the development of militarily relevant medical products for Force Health Protection.
The incumbent will lead the development and execution of research projects. Supervises projects and investigates the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products, and problems. Develops new technologies and protocols.
Research in this area focuses on the development of individual-specific mathematical models and artificial intelligence (AI) algorithms for preventing non-battle injuries, optimizing and enhancing Soldier performance, and optimizing casualty care.
Research efforts in this area support military operational medicine and combat casualty care missions. For operational support, we are developing phenomenological, first-principle, and data-driven adaptive mathematical models to reduce the risk of heat injuries and improve mental activity in response to sleep deprivation. For casualty care, we are developing hardware and software platforms, as well as artificial intelligence-based decision-support algorithms, to improve the management of combat casualties in pre-hospital and in-hospital settings.
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- Demonstrates cross-disciplinary knowledge, leadership, and communication. Designs and implements experimental protocol.
- Trains and supervises technical staff and other scientists. Coordinates with other technical and professional staff.
- Collects, processes, and interprets experimental data. Assess strengths and weaknesses of work.
- Prepares publication-ready manuscripts. Finalizes reports and reviews for submission to scientific journals and patent applications.
- Makes scientific observations, maintains detailed workbooks/documentation, and ensures documentation fulfills generally accepted professional/industry standards.
- Coordinates and prepares new grant and funding applications.
- May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.
Required Knowledge, Skills and Abilities:
- Knowledge of applicable complex scientific procedures and techniques.
- Mathematical models and artificial intelligence (AI) experience.
- Excellent communication skills; ability to troubleshoot technical procedures; ability to work independently and supervise others.
Minimum Education: Doctoral Degree in a scientific field.
Minimum Experience/ Training Requirements:
- Level I: Minimum of 2-5 years of relevant experience required.
- Level II: Minimum of 5-8 years of relevant experience required.
Supervisory Responsibilities: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluations.
Background/Security: Must have lived in the U.S. 3 out of the past 5 years; eligible to obtain and maintain a Tier I investigation.
Telework/Remote: This position may have the option to telework one to two days per week.
Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, addresses, education, and credentials, a criminal background check, drug screening, and a department of motor vehicle (DMV) check.
Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.