2027 Graduate - Data Scientist; Computer Scientist; Engineer - Decision Systems

The Decision Systems Group at Johns Hopkins Applied Physics Laboratory (APL) has a 2027 Graduate opportunity focused on designing and developing decision support systems and data-driven, explainable solutions. This role blends research, analysis, and prototype development within an interdisciplinary environment.

Role Overview

As part of the Decision Systems Group, you will contribute to the research and engineering work that supports APL sponsor missions. The focus includes moving from reactive approaches toward more proactive capabilities, while building scalable prototypes that evaluate new technologies in context.

Responsibilities

• Collaborate with a team to design and develop high-performance, scalable, and resilient decision support systems.
• Work with internal and external partners to translate system concepts into concrete plans of action.
• Create proof of concept prototypes to explore emerging technologies aligned with sponsor missions.
• Perform research and analysis to advance approaches from a reactive posture to a proactive posture.

Required Qualifications

• Earned a Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a closely related field.
• Proficiency in at least one programming language commonly used in data science and/or full-stack development, such as Python, Java, or JavaScript.
• Strong written and oral communication, organizational skills, and an ability to build effective working relationships.
• Ability to acquire an Interim Secret security clearance by the start date, and ultimately obtain a final Secret clearance. Selected candidates will be subject to a government security clearance investigation and must meet access requirements for classified information, including U.S. citizenship.

Technologies

• Python
• Java
• JavaScript

Preferred Qualifications

You may be considered a strong fit if you have experience or research background in areas such as:

• Generative AI
• Deep Learning
• Optimization
• Natural Language Processing
• Operations Research
• Supply Chain Analysis
• Software Engineering
• Data Visualization
• Data Engineering
• DevOps / MLOps
• Public Health Surveillance
• Health Informatics

Additional alignment includes a demonstrated track record of communicating analysis of real-world data sets to audiences with varied technical backgrounds.

Location and Work Setting

• Location: Laurel, MD
• Work setting: Onsite

Compensation

• Minimum rate: $85,000 annually
• Maximum rate: $165,000 annually

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, and training and development