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, and problem-solving will enable the mission's success.

WhatYoullWork 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.

Join us. The world can't wait.

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

• Masters 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