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Ripple Effect · 2 days ago

Health Data Scientist - AI & Clinical Data (ARPA-H)

Washington, District of Columbia, United States

Full-time

Onsite

Mid, Senior Level

$130K/yr - $149K/yr

Ripple Effect is a company focused on health data analysis and AI applications. They are seeking a Health Data Scientist to provide technical leadership in data design, evaluation strategy, and clinical realism for a program advancing AI diagnostics for rare diseases.

Communications InfrastructureConsultingConsumer ResearchDigital MediaEvent Management

No H1B

U.S. Citizen Only

Responsibilities

Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data

Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage

Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability

Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts

Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs

Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions

Serve as a technical bridge between AI developers, clinical experts, and program leadership

Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation

Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes

Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences

Qualification

Health data analysisAI evaluationClinical data expertiseEHR data managementStakeholder communicationTechnical writing

Required

U.S. Citizen as required by client

Experience in designing, preparing, and validating healthcare datasets including EHR, genomic, and multimodal data

Ability to define and assess evaluation strategies and benchmarks that are clinically realistic and methodologically sound

Experience reviewing technical proposals, model submissions, and evaluation results from external teams

Expertise in assessing data quality, representativeness, and bias, and advising on mitigation strategies

Ability to evaluate alignment between technical performance metrics and clinical decision-making needs

Experience identifying gaps between benchmark performance and real-world applicability

Ability to serve as a technical bridge between AI developers, clinical experts, and program leadership

Experience supporting program managers with technical assessments, recommendations, and decision support

Ability to track progress of external partners and identify data- or evaluation-related risks

Experience producing high-quality written reports, analyses, and presentations

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