
51 - 200 funcionários
Fundada em 2018
🏥 Saúde
🏭 Manufatura
🔧 Hardware
💰 $25.000.000 Series A em 2021-11
Healthcare • Manufacturing • Hardware
A missão da Rad AI é capacitar médicos com IA — economizando tempo, reduzindo o burnout e aprimorando a qualidade do atendimento ao paciente.
🕒 Outubro 16
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $150.000 - $190.000 / ano
⏰ Tempo Integral
🟢 Júnior
🟡 Pleno
📊 Engenheiro de Analytics
🚫👨🎓 Sem graduação necessária
🦅 Patrocina Visto H1B
👻 Score fantasma 7%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Rad AI, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Outubro 16
Ainda aberta no site da Rad AI. Verificada 3 horas atrás.

51 - 200 funcionários
Fundada em 2018
🏥 Saúde
🏭 Manufatura
🔧 Hardware
💰 $25.000.000 Series A em 2021-11
Healthcare • Manufacturing • Hardware
A missão da Rad AI é capacitar médicos com IA — economizando tempo, reduzindo o burnout e aprimorando a qualidade do atendimento ao paciente.
• Connect the new data platform to the existing warehouse • Troubleshoot and fix customer-specific data quality issues • Help define the data contract • Gather and translate requirements with radiology administrators, quality/operations leads, informatics teams, Product, and internal partners • Design and build governed semantic layers, metrics, joins, reusable models, and customer-facing dashboards • Apply statistical rigor to healthcare reporting data, including confidence intervals, risk adjustment, exclusions, and caveats • Direct AI agents to describe, model, and document data relationships and verify their outputs • Own data quality end-to-end for customer-facing outputs • Detect and explain anomalies and document sample-size exclusions, data lag, and definitional edge cases • Build durable, reusable data products using dbt/Snowflake-style modeling practices • Partner with Product, Engineering, and Customer Success to prioritize impactful metrics and dashboards • Present findings and explain metrics and statistical caveats to radiologists, hospital administrators, and executives
• 2–5 years in an analytics engineering, data science, or business/BI analyst role • Customer- or stakeholder-facing exposure • Demonstrated AI fluency, including recent examples of using AI to describe, model, or document datasets and verify outputs • Strong SQL, including writing and optimizing complex queries • Working statistics fluency: confidence intervals, significance testing, sample-size considerations, outlier and skewed-distribution handling • Experience with a modern governed BI/semantic layer tool such as Omni, Looker, Sigma, or ThoughtSpot • Experience with a SQL/Python notebook or exploration environment such as Hex or Mode • Comfort in dbt/Snowflake-style modeling environments • Direct experience defining or maintaining a semantic layer • Demonstrated ability to run discovery with external stakeholders and define defensible metrics • Excellent written and verbal communication for presenting findings to non-technical clinical audiences • Authorized to work lawfully in the US • Healthcare, health IT, or regulated-industry data experience is a strong plus • Familiarity with radiology concepts such as PACS, HL7/FHIR, turnaround time, RVU, and template-driven reporting is a bonus • Experience with customer-facing analytics products, multi-tenant data governance, or companies selling into hospitals/health systems is nice to have
• Equity • Comprehensive Medical, Dental, Vision & Life insurance • HSA (with employer match), FSA, & DCFSA • 401(k) • 11 Paid Company Holidays • Flexible PTO policy • Annual company-wide offsite • Periodic team offsites • Annual equipment stipend
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