Remote: Senior Applied AI Health Scientist

Booz Allen Hamilton; Washington (District of Columbia); Hybrid; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton in Washington, DC, is seeking an Applied AI Scientist for Health to lead end-to-end AI initiatives across data curation, model training, and real-world deployment in clinical settings.

You will support ARPA-H programs, assess new technologies for rigor and reproducibility, and produce high-quality reports for senior leaders.

The role demands strong communication, independence in a fast-paced environment, and a track record of delivering health AI solutions.

Qualifications

• 5+ years of experience with Applied AI in the Health domain.
• Experience evaluating AI/ML robustness, fairness, interpretability, and reproducibility.
• Experience interacting with senior executives (SES or GS-15).

Responsibilities

• Review and evaluate AI/ML proposals and deliverables from external teams.
• Provide guidance on model development, training methods, and validation strategies to identify risks, gaps, or weaknesses and recommend corrective actions.
• Advise on integration of multimodal health data (EHR, imaging, genomic, and patient-reported).
• Assess alignment of model architectures and approaches with program goals and clinical use cases.
• Evaluate benchmarking results and provide feedback on methodological soundness.
• Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings.
• Produce high-quality written reports and presentations that synthesize complex technical findings for various audiences.

Skills

Applied AI Health

LLMs / deep learning

AI evaluation methods

Executive communication

Independence in fast-paced environment

Education

Master's degree in CS / ML / Data Science

PhD in CS / ML / Data Science

Tools

Microsoft Office

Excel

Word

PowerPoint

Job description

Booz Allen Hamilton in Washington, DC, is seeking an Applied AI Scientist for Health to lead end-to-end AI initiatives across data curation, model training, and real-world deployment in clinical settings.

You will support ARPA-H programs, assess new technologies for rigor and reproducibility, and produce high-quality reports for senior leaders.

The role demands strong communication, independence in a fast-paced environment, and a track record of delivering health AI solutions.