AI Postdoc: Biosurveillance & Emerging Threat Mitigation

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 156,000; Full time

Benefits offered by this job

Education assistance

Retirement contributions

Health benefits

Work-life balance

Job summary

The Johns Hopkins University Applied Physics Laboratory seeks a postdoctoral researcher to advance AI-driven models and in silico simulations addressing infectious diseases and biosecurity challenges. You will lead independent studies and collaborate across computational and biological disciplines, contributing to high‑impact projects for national security and public health.

You will publish your findings, present at internal and external venues, and help shape mitigation strategies while

Qualifications

• PhD in Public Health, Biological Sciences, or Engineering in a relevant field.
• Strong AI/machine learning background applied to public health or biological systems with peer‑reviewed publications.

Responsibilities

• Devise and lead an independent research project applying AI concepts to address biological challenges for sponsors.
• Participate in interdisciplinary teams in computational and data analytic environments.
• Publish findings via technical reports, publications, and presentations to internal teams, sponsors, and the scientific community.
• Advance mitigation strategies to reduce disease impact on public and warfighter health.

Skills

AI/ML experience

Python

R

Public health

Communication

Team collaboration

Data analysis

Statistics

Education

PhD in Public Health

Tools

HPC environments

Job description

The Johns Hopkins University Applied Physics Laboratory seeks a postdoctoral researcher to advance AI-driven models and in silico simulations addressing infectious diseases and biosecurity challenges. You will lead independent studies and collaborate across computational and biological disciplines, contributing to high‑impact projects for national security and public health.

You will publish your findings, present at internal and external venues, and help shape mitigation strategies while