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Johns Hopkins Applied Physics Laboratory · 3 months ago

2026 Graduate - Health Systems Engineer/Analyst

Laurel, MD

Full-time

Onsite

New Grad, Entry Level

$85K/yr - $155K/yr

Johns Hopkins Applied Physics Laboratory is seeking talented individuals to join their Health and Human-Machine Systems Group as Health Systems Engineers/Analysts. The role involves collaborating with engineers and scientists to design and operationalize advanced solutions in healthcare and human-machine systems, addressing operational challenges through innovative technologies and data-driven processes.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

You will collaborate with other engineers, scientists, and technical experts to investigate, evaluate, analyze, and prototype technologies and operational solutions

You will 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 and simulation (M&S), and test or evaluation (T&E)

You will apply knowledge of healthcare and emerging technologies to help define new and innovative ways to address operational challenges, while establishing cross-organizational relationships to increase collaboration

You will support the development, documentation, review, and presentation of work products for a variety of audiences in accordance with APL's high-quality standards

You will also support design and peer reviews to inform and gather feedback on technical approaches and work products

Qualification

Data analysisModelingSimulationSystems engineeringPythonObject-oriented programmingInterpersonal skillsWritten communicationVerbal communication

Required

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

Have demonstrated experience in at least one of the following: Data analysis and/or M&S using such as Python, R, or Matlab

Have demonstrated experience in at least one of the following: Software/model development using Python or other object-oriented programming languages

Have demonstrated experience in at least one of the following: Developing data pipelines for analysis and modeling applications

Have demonstrated experience in at least one of the following: Systems engineering using Cameo or MagicDraw

Have excellent interpersonal, written, and verbal communication skills, and have demonstrated success while working within a team environment

Are able to travel occasionally to attend meetings with our government sponsors and operational stakeholders

Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship

Preferred

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

Have experience in leading technical projects and have shown success in developing innovative technical proposals to facilitate advances in healthcare

Have experience in a hospital or healthcare environment

Benefits

Generous benefits

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Comprehensive benefits package including retirement plans

Paid time off

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

Flexible spending accounts

Education assistance

Training and development

Company

Johns Hopkins Applied Physics Laboratory

The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.

Founded in 1942