PhD Data Scientist — Defense Analytics & Modeling

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Benefits offered by this job

Vibrant culture

Commitment to diversity and inclusion

Support for personal growth

Job summary

Johns Hopkins Applied Physics Lab in Laurel, Maryland, is looking for a new PhD graduate in Statistics, Physics, Mathematics, Computer Science, or related field. This role involves supporting multi-disciplinary teams in quantitative analysis for defense applications. The position requires expertise in statistical modeling and experience with programming tools like Python or R. The job offers a collaborative environment focused on innovation, with a salary range of $105,000 to $245,000 annually.

Qualifications

• PhD in Data Science, Statistics, Physics, Mathematics, or Computer Science.
• Strong foundations in statistical inference, probability, and modeling.
• Experience with scientific programming tools such as Python or R.

Responsibilities

• Support development of data collection, processing, and analysis efforts.
• Develop and evaluate statistical models for defense applications.
• Communicate technical knowledge clearly through papers and presentations.

Skills

Statistical inference

Data analysis

Programming (Python, R)

Statistical modeling

Experimental design

Education

PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field

Tools

Bayesian methods

Probabilistic programming (Stan, PyMC)

Job description

Johns Hopkins Applied Physics Lab in Laurel, Maryland, is looking for a new PhD graduate in Statistics, Physics, Mathematics, Computer Science, or related field. This role involves supporting multi-disciplinary teams in quantitative analysis for defense applications. The position requires expertise in statistical modeling and experience with programming tools like Python or R. The job offers a collaborative environment focused on innovation, with a salary range of $105,000 to $245,000 annually.