Applied AI Health Scientist

Booz Allen Hamilton; Washington; On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Tuition assistance

Paid time off

Job summary

Booz Allen Hamilton seeks an Applied AI Health Scientist to join our team and advance AI solutions across data curation, model training, and deployment in clinical settings. You’ll support ARPA-H programs, assess technical approaches, and guide performers toward rigorous, real-world health outcomes.

The ideal candidate has 5+ years in health AI, experience with ML methods including LLMs, and strong executive communication.

Qualifications

• 5+ years of experience with Applied AI in the Health domain.
• Experience applying advanced ML methods, including LLMs or deep learning, to health datasets.
• Experience in evaluation methods for AI/ML (robustness, fairness, interpretability, reproducibility).
• Experience interacting with senior-level executives (SES or GS-15).
• Proficiency in Microsoft Office (Excel, Word, PowerPoint).
• Ability to review, critique, and guide AI/ML technical work.
• Ability to operate independently in a fast-paced startup environment.

Responsibilities

• Review and evaluate AI/ML proposals and deliverables from external teams.
• Provide guidance on model development, training methods, and validation strategies.
• Advise on integration of multimodal health data (EHR, imaging, genomic, patient-reported).
• Assess alignment of model architectures with program goals and clinical use cases.
• Evaluate benchmarking results and provide feedback on methodology.
• Advise on deployment considerations (interpretability, reliability, safety).
• Produce reports and presentations synthesizing complex findings for diverse audiences.

Skills

Applied AI Health

ML methods

Executive communication

MS Office

Technical review

Startup environment

Education

Master’s degree in CS/ML/DS

Job description

Applied AI Health Scientist

The Opportunity:

To achieve an organization’s mission, leaders needstrong teammembers 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 inquiriesin a timely manner. That is why we needyou,an experiencedApplied AI Scientist for Healthwho cancontributeexpertiseacross the full lifecycle of AI system development: data aggregation and curation, model training and benchmarking, and deployment and validation in real-world clinicalsettings.

As part of our team,you’llsupport 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 technicalexpertiseto provide strategic assessments ofnew technologiesin 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,assistingwith the management of current programs, andfacilitatingcommercialization of successfully developed technologies.

You’llserve asan Applied AI Scientist for Healthhelping clients tocritically assess technical approaches,adviseprogram leadership, and ensure that funded performers and partners are meeting the highest standards of rigor, reproducibility, and real-world applicability.You willbe responsible formanaging incoming requirements,facilitatingengagements within offices and across the Agency, and isreadily available to shift your focus to fulfill emerging client requests. Your attention to detail, flexibility, communication skills, understanding of the client’s mission, andproblem-solving will enable the mission’s success.

WhatYou’llWork On :

• Review and evaluate AI/ML technical proposals and deliverables from external teams.
• Provide guidance on model development, training methods, and validation strategiestoidentifyrisks, 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 experiencewith Applied AI in the Health domain
• Experience applying advanced ML methods, including LLMs or deep learning,to complex health datasets, includingclinical and biomedical data types, such asEHR, genomic, and imaging data
• Experience inevaluation 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 tooperateindependently within a fast-pacedstart-upenvironment
• 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 intechnical 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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. 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

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• 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.