Johns Hopkins Applied Physics Lab

2027 PhD Graduate - Data Scientist / Computer Scientist - Decision Systems

Johns Hopkins Applied Physics Lab • $105K — $245K *
Laurel, MD 20707In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Terminal degree (PhD, DEng) in Computer Science, Mathematics, Physics, Electrical Engineering, or similar field
  • Proficient in a programming language used in data science or full-stack development (e.g., Python, Java, JavaScript)
  • Exceptional written and verbal communication skills with strong organizational abilities
  • Ability to obtain Interim Secret clearance and meet security eligibility requirements, including U.S. citizenship.

Responsibilities

  • Design and develop high-performance decision support systems
  • Collaborate with partners to translate system concepts into actionable plans
  • Develop proof of concept prototypes for evaluating new technologies
  • Conduct research and analysis to shift approaches from reactive to proactive

Benefits

  • Opportunity to work on cutting-edge technologies in AI and data systems
  • Collaborative environment with internal and external partners
  • Engagement in meaningful projects relevant to real-world applications
  • Potential for personal growth and professional development through innovative challenges
Full Job Description
Description

As a member of our QAX team, you may...

  • 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.

Qualifications

You meet our minimum qualifications for the job if you...

  • 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.

You'll go above and beyond our minimum requirements if you...

  • Have prior experience as a researcher or practitioner in any of the following areas: Generative AI, Adversarial AI or AI Interpretability, 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.

Minimum Rate

$105,000 Annually

Maximum Rate

$245,000 Annually

About Johns Hopkins Applied Physics Lab

The Johns Hopkins University Applied Physics Laboratory (APL) is a research and development organization that provides solutions to national security and scientific challenges. The laboratory was founded in 1942 and is located in Laurel, Maryland. APL is a division of the Johns Hopkins University and is a not-for-profit organization. The laboratory has expertise in a variety of areas, including space exploration, national security, and healthcare.
Learn more about Johns Hopkins Applied Physics Lab
Size
7,000 employees
Industry
Information Technology
Founded
1942
* Ladders Estimates

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