Why This Role Stands Out
This hybrid role at Johns Hopkins APL offers a remarkable opportunity to shape critical national security, space, and health systems, fostering significant professional growth through challenging projects and expert collaboration. You'll thrive here if you possess strong analytical and modeling skills, enjoy translating complex needs into innovative solutions, and are eager to contribute to a mission-driven environment while enjoying workplace flexibility. Apply now to make a tangible impact and advance your career in a renowned research institution.
Quick Overview
Job Description
Johns Hopkins Applied Physics Laboratory (APL) seeks a Systems Engineer / Analyst to design, model, and assess complex systems supporting national security, space, and health missions. You will translate mission needs into system requirements, perform trade studies and simulations, analyze performance and risk, and collaborate with multidisciplinary experts to develop innovative, testable solutions. In APL's mission-driven, research-focused culture, you'll leverage advanced tools, document findings, brief stakeholders, and contribute to prototypes while growing professionally through mentoring and continuing education.
Responsibilities
- Translate mission and stakeholder needs into system requirements and architectures.
- Develop models, simulations, and analytical frameworks to evaluate system performance.
- Conduct trade studies, sensitivity analyses, and risk assessments for complex systems.
- Collaborate with multidisciplinary teams across engineering, science, and operations.
- Prepare technical documentation, reports, and decision-quality recommendations.
- Present findings and concepts to sponsors, stakeholders, and technical peers.
- Support prototype development, integration, and test planning as needed.
- Stay current with emerging methods, tools, and technologies relevant to mission areas.
Required Skills
- Systems engineering
- Requirements analysis
- Systems modeling and simulation
- Data analysis and statistics
- Trade studies and decision analysis
- Risk and reliability analysis
- MATLAB/Python or similar tools
- Model-based systems engineering (MBSE)
- Technical documentation
- Technical presentations and briefing
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