2027 Graduate - Systems Engineer/Analyst

Johns Hopkins Applied Physics Laboratory•Laurel, MD

21h•Onsite

About The Position

The Health and Human-Machine Systems Group is seeking talented individuals to help us design and operationalize advanced and autonomous solutions to revolutionize complex, socio-technical systems for the Nation. We leverage skills across engineering disciplines, computer science, and data science and advanced analytics to make critical contributions to critical challenges in collaboration with government, academia, and industry. You will be joining a hardworking team of engineers and researchers responsible for developing innovative solutions and integrating cutting-edge technologies, data-driven processes, and artificial intelligence (AI) and machine learning (ML) principles. You will partner with creative thinkers, motivated problem solvers, and life-long learners in support of our country and our warfighters. As a Systems Engineer/Analyst, you will contribute to a multidisciplinary, high-performing team delivering innovative solutions across global health, special operations, cybersecurity, and other mission-focused domains that support and enhance human readiness.

Requirements

Possess a Bachelor's degree in Engineering, Computer Science, Mathematics, Data Science, Operations Research, or other related technical degree with a strong track record of academic performance.
Demonstrated experience in at least one of the following: Data analysis and/or M&S using such as Python, R, or Matlab; Software/model development using Python or other object-oriented programming languages; Developing data pipelines for analysis and modeling applications; Systems engineering using Cameo Enterprise Architecture or Systems Modeler.
Excellent interpersonal, written, and verbal communication skills, and demonstrated success while working within a team environment.
Ability to travel occasionally to attend meetings with government sponsors and operational stakeholders.
Ability to obtain an Interim Secret level security clearance by your start date and ultimately obtain a Secret level clearance.
U.S. citizenship.

Nice To Haves

Possess a Master's degree in Engineering, Computer Science, Mathematics, Data Science, Operations Research, or other related technical degree with a strong track record of academic performance.
Experience in leading technical projects and shown success in developing innovative technical proposals to facilitate advances in human-machine teaming and human performance.
Experience in conducting human subjects research and animal testing.

Responsibilities

Collaborate with other engineers, scientists, and technical experts to investigate, evaluate, analyze, and prototype technologies and operational solutions.
Interface with operational stakeholders to understand and document their needs and translate them into well-defined requirements to facilitate system design and development, analysis, modeling & simulation (M&S), and test & evaluation (T&E).
Apply knowledge of emerging technologies to help define new and innovative ways to address operational challenges, while establishing cross-organizational relationships to increase collaboration.
Support the development, documentation, review, and presentation of work products for a variety of audiences in accordance with APL's high-quality standards.
Support design and peer reviews to inform and gather feedback on technical approaches and work products.