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

Applied AI Health Scientist The Opportunity: To achieve an organization’s mission, leaders need strong team members who can create processes, communicate requirements, and develop innovative solutions throughout the execution of the mission. Whether completing an immediate task, recognizing a process gap, recommending a solution, or flexing to support an immerging requirement, our clients need someone who can help manage operations while managing responses to external inquiries in a timely manner. That is why we need you, an experienced Applied AI Scientist for Health who can contribute expertise across the full lifecycle of AI system development: data aggregation and curation, model training and benchmarking, and deployment and validation in real-world clinical settings. As part of our team, you'll support the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. Work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. Leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA-H decision makers. Maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies. You'll serve as an Applied AI Scientist for Health helping clients to critically assess technical approaches, advise program leadership, and ensure that funded performers and partners are meeting the highest standards of rigor, reproducibility, and real-world applicability. You will be responsible for managing incoming requirements, facilitating engagements within offices and across the Agency, and is readily available to shift your focus to fulfill emerging client requests. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success.

Join us. The world can't wait.

What You’ll Work On:

• Review and evaluate AI/ML technical 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, collaborating with clinical SMEs to ensure AI outputs align with clinician expectations and workflows.
• Evaluate benchmarking results and provide feedback on methodological soundness.
• Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings.
• Support program leadership with technical assessments, reports, and recommendations.
• Produce high-quality written reports and presentations that synthesize complex technical findings for various audiences.

You Have:

• 5+ years of experience with Applied AI in the Health domain
• Experience applying advanced ML methods, including LLMs or deep learning, to complex health datasets, including clinical and biomedical data types, such as EHR, genomic, and imaging data
• Experience in evaluation methods for AI/ML, including robustness, fairness, interpretability, and reproducibility
• Experience in interacting and communicating with senior-level executives, including SES or GS-15
• Experience with using Microsoft Office, Excel, Word, and PowerPoint
• Ability to review, critique, and guide AI/ML technical work
• Ability to operate independently within a fast-paced start-up environment
• Master’s degree in a Computer Science, Machine Learning, or Data Science field

Nice If You Have:

• Experience in healthcare AI or biomedical applications
• Experience with the rare disease field
• Experience working in technical advisory, evaluation, or SETA-style roles
• Experience working with interdisciplinary teams including clinicians and patient stakeholders
• Possession of excellent oral and written communication skills
• Doctorate degree in Computer Science, Machine Learning, Data Science, or related field

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).

This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Know Your Rights Poster Accommodations

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to [e-mail]. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.

Data Privacy

For more information on how Booz Allen uses your information, please see our Careers Privacy Policy.