The Decision Systems Group at the Johns Hopkins University Applied Physics Laboratory (APL) is seeking to enhance the safety and security of the nation through 'Critical Contributions to Critical Challenges' by advancing analytic methods and developing integrated software systems to empower informed decision making in national and health security.
Requirements
- Proficient in at least one programming language commonly used in data science and/or full-stack development (e.g., Python, Java, JavaScript)
- 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.
- Possess a record of communicating analyses of real-world data sets to audiences with broadly varying technical backgrounds.
Responsibilities
- Work as part of a team designing and developing 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.
Other
- Possess a Bachelor's or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar field
- Are able to acquire an Interim Secret level security clearance by the start date and ultimately obtain a final Secret level security clearance.
- Must be a U.S. citizen.
- Possess outstanding written and oral communication skills, organizational skills, and a penchant for relationship building.
