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 completin g 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.  Y ou ll serv e as a n Applied AI Scientist for Health helping clients to critically assess technical approaches, advise program leadership, and ensure that funded perfo rmers 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. 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. Join us. The world can t wait. 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 A bility 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. 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.

Requirements

Must-haves

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.
Join us. The world can t wait.
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
A bility 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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development