Ripple Effect · 1 week ago
Applied AI Health Scientist (ARPA-H)
Washington, District of Columbia, United States
Full-time
Onsite
Mid, Senior Level
$130K/yr - $149K/yrRipple Effect is seeking an Applied AI Health Scientist to contribute to the Proactive Health Mission Office at ARPA-H. The role involves providing expertise in artificial intelligence and machine learning to advance AI diagnostics for rare diseases, including evaluating proposals, advising on model development, and collaborating with clinical experts.
Communications InfrastructureConsultingConsumer ResearchDigital MediaEvent Management
No H1B
U.S. Citizen Only
Responsibilities
Review and evaluate AI/ML technical 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, 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
Collaborate with clinical SMEs to ensure AI outputs align with clinician expectations and workflows
Identify risks, gaps, or weaknesses in technical approaches and recommend corrective actions
Support program leadership with technical assessments, reports, and recommendations
Produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences
Qualification
Required
U.S. Citizen as required by client
Expertise in artificial intelligence and machine learning
Ability to critically assess technical approaches
Experience advising program leadership
Knowledge of AI diagnostics for rare diseases
Experience with data aggregation and curation
Experience with model training and benchmarking
Experience with deployment/validation in real-world clinical settings
Ability to review and evaluate AI/ML technical proposals and deliverables
Guidance on model development, training methods, and validation strategies
Experience with integration of multimodal health data (EHR, imaging, genomic, and patient-reported)
Ability to assess alignment of model architectures and approaches with program goals and clinical use cases
Experience evaluating benchmarking results and providing feedback on methodological soundness
Advising on deployment considerations, including interpretability, reliability, and safety in real-world settings
Collaboration with clinical SMEs to ensure AI outputs align with clinician expectations and workflows
Ability to identify risks, gaps, or weaknesses in technical approaches and recommend corrective actions
Support program leadership with technical assessments, reports, and recommendations
Ability to produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences
Company
Ripple Effect
Ripple Effect provides professional consulting and exceptional talent for federal, private, and non-profit clients to deliver some of the most crucial policies and programs that shape our nation.
Founded in 2003
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Amy Bielski
President and CEO
Jennifer Pohlhaus
Chief Operating Officer
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