2026 PhD Graduate - Data Scientist / Computer Scientist - Decision Systems

Johns Hopkins Applied Physics Laboratory is a research and development organization focused on critical defense, security, space, and science challenges. The Decision Systems Group is seeking a 2026 PhD graduate to design decision support systems, develop prototypes, collaborate with partners, and conduct research and analysis for data-driven decision making.

What you'll do:

• Design and develop high-performance, scalable, and resilient decision support systems
• Collaborate with internal and external partners to understand and translate system concepts into plans of action
• Develop proof of concept prototypes to explore new technologies in the context of our sponsor's missions
• Engage in research and analysis to move our approaches from a reactive to a proactive posture

What they're looking for:

• Possess a terminal degree (e.g., PhD, DEng) in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar field
• Are proficient in at least one programming language commonly used in data science and/or full-stack development (e.g., Python, Java, JavaScript)
• Possess outstanding written and oral communication skills, organizational skills, and a penchant for relationship building
• Are able to obtain an Interim Secret clearance to start and a final Secret level security 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
• Have prior experience as a researcher or practitioner in any of the following areas: Generative AI, Deep Learning, Optimization, Natural Language Processing, Operations Research, Supply Chain Analysis, Software Engineering, Data Visualization, Data Engineering, DevOps / MLOps, Public Health Surveillance, or Health Informatics
• Have a record of communicating analyses of real-world data sets to audiences with broadly varying technical backgrounds

Benefits:

• Generous benefits, including a robust education assistance program
• Unparalleled retirement contributions
• A healthy work/life balance
• Bonuses or other forms of compensation may be offered per internal policy and/or contractual designation
• Sign-on bonus
• Relocation benefits
• Locality allowance
• Discretionary payments for exceptional performance
• Retirement plans
• Paid time off