
201 - 500 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
🧬 Biotechnology
Healthcare Insurance • Artificial Intelligence • Biotechnology
H1 is a global healthcare intelligence company that connects life sciences, payors, providers, and patients to AI-enabled data analytics and groundbreaking research to advance medicine. It provides enterprise solutions like HCP Universe, Trial Landscape, and Precise, helping healthcare professionals to access accurate and comprehensive data for clinical trials, scientific research, and medical affairs. H1 empowers medical missions and humanitarian work through H1 Connect and enhances diversity and inclusion in clinical trials by providing insights to improve patient diversity and site performance. The company plays a key role in enabling access to healthcare information and evidence-based medicine globally.
🔥 1 minute ago
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201 - 500 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
🧬 Biotechnology
Healthcare Insurance • Artificial Intelligence • Biotechnology
H1 is a global healthcare intelligence company that connects life sciences, payors, providers, and patients to AI-enabled data analytics and groundbreaking research to advance medicine. It provides enterprise solutions like HCP Universe, Trial Landscape, and Precise, helping healthcare professionals to access accurate and comprehensive data for clinical trials, scientific research, and medical affairs. H1 empowers medical missions and humanitarian work through H1 Connect and enhances diversity and inclusion in clinical trials by providing insights to improve patient diversity and site performance. The company plays a key role in enabling access to healthcare information and evidence-based medicine globally.
• Own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. • Lead structured evaluation of new data sources from scratch — assessing schema, coverage, freshness, legal constraints, and fit against H1's product needs before any engineering work begins. • Own field mapping from source to H1's bronze/silver/gold layers, producing data dictionaries, entity definitions, and structural guidance for downstream teams. • Partner with engineering and Data Lake to define ingestion requirements, entity resolution rules, and refresh cadences for new sources. • Gather requirements from client-facing teams and translate them into integration specifications; serve as the authoritative voice on what a new source can and cannot deliver before product commitments are made. • Shepherd each source end-to-end: scoping → QA → entity matching → product launch, including product QA and communicating source capabilities and limitations to product and enablement partners. • Work with the Insights team to develop new taxonomies and QA mechanisms for novel data types. • Define acceptance criteria and lead QA validation including field-level fill rates, count comparisons, and cycle-over-cycle anomaly detection. • Investigate and resolve data quality issues post-integration, coordinating with DART and engineering as needed. • Hand off to the maintaining team with complete mapping documentation; you own onboarding, not ongoing maintenance. • Produce and maintain documentation other people actually use — across scoping assessments, field mapping specs, and post-mortems.
• 8–12+ years in data-focused roles at healthcare data companies, pharma/biotech data vendors, health IT firms, or equivalent • Demonstrated end-to-end ownership of data integrations built from scratch — scoping, field mapping, QA, and handoff — with documentation to show for it • Healthcare or life sciences domain context required; ability to ramp on new datasets and source types each quarter without needing deep subject matter expertise upfront • Analytical fluency to assess data quality; hands-on experience with tools such as VBA, R, or SPSS; SQL a plus but not a primary requirement • Familiarity with data lake architectures (bronze/silver/gold or equivalent) and how raw data moves through normalization and entity resolution to a product-ready state • Experience gathering requirements from client-facing stakeholders and translating them into data or product specifications • Experience at a B2B data company where you understood how external clients consumed your data and where client retention drove decisions • AWS infrastructure familiarity (Athena, S3, Glue) at a query and inspection level preferred • Comfort working in Jira or Monday in a ticket-based workflow • Exceptional written communication — your documentation is legible, maintained, and actually used.
• Full suite of health insurance options, in addition to generous paid time off • Pre-planned company-wide wellness holidays • Retirement options • Health & charitable donation stipends • Impactful Business Resource Groups • Flexible work hours & the opportunity to work from anywhere
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