26 days ago
Remote, United StatesMid Level / Senior
H1B sponsor
Base Salary
$150k - $190k/yr
Responsibilities
- Connect the new data platform to the existing warehouse, troubleshoot customer-specific data quality issues, and help define data contracts.
- Conduct discovery with external customers and internal partners to identify the decisions and metrics they need.
- Design and build reusable semantic-layer models, governed metrics, joins, and customer-facing dashboards.
- Apply statistical rigor to healthcare reporting data, including confidence intervals, risk adjustment, outlier handling, and sample-size considerations.
- Use AI agents to describe, model, and document data relationships, and verify their outputs.
- Own end-to-end data quality for customer-facing outputs and document data lag, exclusions, and metric-definition caveats.
- Build durable data products using dbt/Snowflake-style modeling practices rather than one-off reports.
- Partner with Product, Engineering, and Customer Success to prioritize valuable metrics and dashboards.
- Present analytical findings and statistical caveats clearly to radiologists, hospital administrators, executives, and other non-data audiences.
Requirements
- 2–5 years of experience in analytics engineering, data science, or business/BI analysis, ideally with customer- or stakeholder-facing work.
- Recent demonstrated use of AI tools to describe, model, or document datasets and a process for checking their output.
- Strong SQL skills, including writing and optimizing complex queries.
- Working knowledge of confidence intervals, significance testing, sample-size considerations, outliers, and skewed distributions.
- Experience with a governed BI or 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 building reusable models in dbt/Snowflake-style environments.
- Direct experience defining or maintaining semantic layers, metric definitions, joins, and governed fields, such as LookML or dbt Semantic Layer.
- Ability to conduct discovery with external stakeholders, clarify ambiguous requests, and establish defensible metric definitions.
- Excellent written and verbal communication skills for presenting findings to non-technical clinical audiences.
- Healthcare, health IT, regulated-industry data, or HIPAA awareness is a strong plus.
- Familiarity with PACS, HL7/FHIR, turnaround time, RVU, and template-driven reporting is a bonus.
- Experience with customer-facing analytics products, multi-tenant governance, row-level security, per-customer data isolation, or hospital and health-system sales environments is preferred.
Benefits
- Comprehensive medical, dental, vision, and life insurance.
- HSA with employer match, FSA, and DCFSA.
- 401(k) plan.
- 11 paid company holidays.
- Flexible PTO policy.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.
- For San Francisco onsite roles, employees are expected onsite four days per week, with remaining time potentially remote or onsite; United States remote roles are open to candidates anywhere in the United States.
- For roles listed as San Francisco onsite plus United States remote, San Francisco candidates are prioritized while US-based remote candidates are considered.
About Rad AI
Rad AI builds AI software for radiologists and health systems to streamline reporting and radiology workflows, integrating with PACS and EHR systems. Products include generative AI tools for report drafting and quality improvement used by radiology groups and hospitals such as Cone Health, Geisinger, and Henry Ford Health. Founded in 2018, the privately held company is headquartered in San Francisco.