Johns Hopkins Applied Physics Lab

2027 PhD Postdoctoral Researcher in Artificial Intelligence (AI), Detection, Biosurveillance, and Mitigation of Emerging Biological Threats

Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Public Health, Biological Sciences, or Engineering in a relevant field.
  • Direct experience with AI methods for public health or biological systems and a track record of peer-reviewed publications.
  • Excellent communication skills for diverse audiences.
  • Ability to manage multiple assignments in a dynamic environment.
  • Meticulous work practices and superior logical-reasoning and organizational skills.
  • Collaborative team player with diverse scientific backgrounds.
  • Knowledge of statistical data analysis and experimental design.
  • Proficiency in Python, R, or similar programming language.

Responsibilities

  • Devise and lead an independent research project using AI to tackle biological challenges.
  • Collaborate within interdisciplinary teams utilizing computational and data analytic methods.
  • Write and publish technical reports and present findings to a variety of stakeholders.
  • Utilize findings to enhance disease mitigation strategies for public and warfighter health.
  • Propose innovative solutions and develop proposals addressing significant biological issues.

Benefits

  • Opportunities for multidisciplinary collaboration.
  • Access to high-impact research projects in public health and AI.
  • Develop skills in cutting-edge AI and machine learning applications.
  • Potential travel opportunities for professional development.
  • Work within advanced research environments, including Biosafety Level 2 laboratories.
Full Job Description
Description

Are you passionate about being at the forefront of research for infectious diseases, biology, and public health? Are you excited about AI-enabled detection, surveillance, and mitigation of emerging biological threats?

Do you have experience applying machine-learning models (e.g., predictive algorithms, ensemble methods, advanced pathogen simulation techniques, etc.) to tackle some of the most complex biothreat challenges facing the Nation?

Do you thrive when working with interdisciplinary teams that blend computational science, public health, and biological sciences?

If you are graduating (or have recently graduated) with a PhD in Public Health, a Biological Science discipline, or a closely related field such as Statistics or Engineering with a computational/AI focus, we'd love to have you join our team!

As a member of our team, your primary responsibility will be to contribute to a high-impact portfolio of research, development, and validation projects that improve understanding and mitigation of biological threats using AI-driven models and in-silico simulation.

As a postdoc, you will:
  • Devise and lead an independent research project that applies AI concepts to address current biological challenges facing our sponsors.
  • Participate in interdisciplinary teams, working in computational and data analytic environments.
  • Write technical reports and publications, and publish and present findings across internal teams, sponsors, and the broader scientific community.
  • Leverage novel findings to advance mitigation strategies to reduce the impact of disease on public and warfighter health.
  • Propose novel ideas and develop internal and external proposals aimed at the hardest biological problems facing the Nation.

Qualifications

You meet qualifications for the job if you meet some or all of the following:
  • PhD in Public Health, Biological Sciences, or Engineering in a relevant field.
  • Strong technical background that includes direct experience with AI (including machine learning) methods for public health or biological systems and a track record of peer-reviewed publications.
  • Excellent written and verbal communication skills, with experience presenting sophisticated technical concepts to mixed audiences (scientists, engineers, policy makers).
  • The ability to manage multiple simultaneous assignments and changing priorities in a dynamic environment.
  • Methodical, meticulous work practices and superior interpersonal, logical-reasoning, and organizational skills.
  • The ability to work collaboratively in our team environment with scientists and engineers representing different backgrounds, skills, and experience levels.
  • Knowledge of statistical data analysis methods and experimental design.
  • Proficiency with Python, R, or other programming language, and familiarity with high-performance/parallel computing environments.

Security: You should be able to obtain a final Secret level clearance. If you are 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.

Special Working Conditions: Approximately two weeks of travel per year. Potential work in Biosafety Level 2 laboratories.

Minimum Rate

$85,300 Annually

Maximum Rate

$155,500 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
Founded
1942

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