Full-Time

Principal Analyst

Data Integration

H1

H1

501-1,000 employees

AI-powered healthcare data analytics for R&D

Compensation Overview

$145k - $170k/yr

+ Equity

United States

Hybrid

Hybrid role; some in-office days in the United States.

Category
Data & Analytics
Required Skills
Data Lake
R
SQL
Quality Assurance (QA)
AWS
JIRA
VBA

Get referred to H1

See people who can refer or advise you

Requirements
  • 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
Responsibilities
  • 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

H1 provides a data-analytics platform that connects life sciences companies, healthcare professionals, and patients with medical research and provider information. The platform uses AI to analyze vast amounts of healthcare data, allowing users to design clinical trials, identify expert doctors for collaboration, and track medical trends. Unlike competitors that may offer limited datasets, H1 offers comprehensive data coverage on nearly every U.S. healthcare provider to improve the accuracy of professional affiliations and patient demographics. The company's goal is to democratize healthcare data to ensure the right doctors are connected to the right research to improve global health outcomes.

Company Size

501-1,000

Company Stage

Late Stage VC

Total Funding

$227.1M

Headquarters

New York City, New York

Founded

2017

Get referred to H1

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • May 28, 2026 CVS Health Ventures led H1's $40 million investment round.
  • H1 says it turned cash-flow and EBITDA profitable, targeting over 40% growth in 2026.
  • April 23, 2026 Site Network Suite expands H1 into sponsor site-selection workflows.

What critics are saying

  • Oracle Health and Optum bundle provider data into existing contracts by 2027.
  • CVS Health Ventures owns influence over H1's roadmap after the May 28, 2026 investment.
  • Clinical-trial data becomes commoditized if sponsors standardize on cheaper directory APIs, crushing margins.

What makes H1 unique

  • Doctor Graph unifies physician identity, expertise, relationships, and behavioral signals.
  • January 8, 2025 Ribbon Health acquisition expands H1 into health plans and digital health.
  • H1 combines clinical insights, provider data, and trial-feasibility workflows across enterprise healthcare.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Paid Vacation

Paid Holidays

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

0%
Connect Iredell
May 28th, 2026
CVS Health Ventures leads $40M investment in H1's AI-powered healthcare platform

H1, an AI-powered healthcare platform, has received a $40 million investment in a round led by CVS Health Ventures. The funding follows successful collaborations between the companies, including development of an AI model that significantly improved healthcare provider directory accuracy. H1's platform helps identify and engage doctors for critical workflows across pharmaceutical, health plan, health system and technology companies. The company serves 85% of the top 20 pharmaceutical firms and nine out of 10 leading health plans. H1 is profitable and targeting above Rule of 40 performance in 2026. The platform's core technology, Doctor Graph, provides a structured representation of physician identity, expertise, relationships and behavioural signals. H1 aims to connect the world to the right doctor through its comprehensive global dataset of healthcare professionals.

H1
Apr 21st, 2026
Smarter care navigation: guiding patients to the right care with AI and data.

Smarter care navigation: guiding patients to the right care with AI and data. A fragmented system meets a data-driven solution. Despite decades of progress in digitizing healthcare, patient data remains siloed and disconnected, leaving patients to navigate a fragmented and complex system. At the same time, regulatory pressure has pushed the industry toward patient-controlled data, standardized exchange, and greater transparency. But in practice, provider information is often outdated or incomplete, and patients are still left navigating a manual, disjointed process to find care and coordinate next steps. "Over the past 20 years, we've made progress in digitizing healthcare, but the data itself is still siloed, inconsistent, and difficult to use in a meaningful way." - Bill Grimes, CEO & Founder at Appy Health For Bill, this gap between where the industry is headed and how it actually operates became the catalyst for building something fundamentally different. Building Appy Health and the data challenge. Appy Health was created to address a fundamental challenge in healthcare: giving patients true ownership and control over their health information while simplifying how they navigate care. Rather than building another point solution, it introduces a patient-controlled health data layer that enables individuals to own, manage, and securely use their health information across their entire care journey. Bill describes Appy Health as a "digital care guide and electronic passport," designed to bridge gaps across the healthcare continuum and provide a unified, 360° view of the patient journey. The goal is to eliminate friction, reduce complexity, and enable patients to actively participate in their care. As the platform evolved, one challenge became clear: the system is only as effective as the data behind it. Provider data, a critical input for care navigation, is often outdated, inconsistent, or incomplete, despite increasing regulatory pressure to maintain accuracy. At Appy Health, data accuracy is critical to ensuring patients are guided to the right care, at the right time. "Our priority is delivering a consumer-grade patient experience. That cannot happen without accurate, complete, and reliable provider data." To meet that standard, Appy Health chose to integrate H1 APIs, ensuring its platform is powered by high-quality, continuously maintained data that meets stringent regulatory requirements. Build vs. Buy: why Appy Health partnered for data. While Appy Health built its platform and technology in-house, the team made a deliberate decision when it came to provider data. Rather than attempting to build and maintain this data internally, Appy Health evaluated external partners capable of meeting its standards for accuracy, completeness, and regulatory compliance. After evaluating multiple options, H1 quickly emerged as a clear fit, meeting Appy Health's requirements for data quality, depth, and reliability. Appy Health ultimately chose to integrate H1's APIs, ensuring that the data powering its platform is continuously maintained, up-to-date, and aligned with stringent regulatory requirements. Data quality: the foundation of intelligent care. For Appy Health, data quality is not just important; it is foundational. The platform's AI precision care coordination depends on structured, validated data across multiple dimensions, including provider credentials, network participation, pricing, availability, and clinical expertise. Appy Health has spent over four years developing comprehensive provider profiles requiring thousands of data elements, making completeness and depth critical to performance. Without high-quality data, even the most advanced AI cannot deliver reliable results. "In healthcare, trust depends on accuracy. High-quality data ensures our AI recommendations are not only intelligent, but reliable." From the outset, Appy Health made data quality a non-negotiable requirement. "Our priority and commitment to deliver a consumer-grade patient experience and ensure the accuracy, completeness, and consistency of provider data will not be compromised." To meet that standard, Appy Health integrates multiple data sources and applies AI-driven harmonization, normalization, and entity resolution models to continuously validate and refine datasets. H1 plays a critical role in this ecosystem by providing high-quality, comprehensive healthcare data that supports accurate matching and real-world decision-making at scale. Transforming healthcare navigation through precision care coordination. With a strong foundation of high-quality data and AI-driven technology, Appy Health transforms how patients navigate care, moving beyond traditional search to intelligent, real-time care orchestration. Appy Health's AI-powered platform is designed to transform healthcare navigation and precision care coordination. Patients can describe symptoms or concerns in natural language, through text or voice, and the system dynamically interprets clinical context, assesses urgency, and recommends the appropriate level of care. From there, Appy Health performs a multidimensional provider-matching process that goes far beyond a simple directory search, evaluating factors like insurance coverage, proximity, preferences, provider expertise, and availability to generate a personalized, ranked shortlist of providers. This matching is powered by a combination of longitudinal medical data, claims data, patient-reported inputs, and healthcare intelligence from H1, enabling more accurate recommendations, proactive guidance, and earlier intervention. Rather than navigating fragmented systems, patients engage in conversation with an intelligent platform that adapts in real time, reducing friction and increasing precision. Acting as an intelligent digital care concierge, Appy Health simplifies a traditionally manual and stressful process by guiding patients through care decisions in a personalized, context-aware, and easy-to-navigate way, enhancing the patient experience. Driving impact across the care continuum. Powered by high-quality, comprehensive healthcare data from H1, Appy Health's platform enables a more connected and intelligent approach to care navigation. Patients can more easily find the right providers, understand their options, and take action with confidence. With a trusted data foundation in place, Appy Health delivers: * More accurate provider matching * Faster, more informed decision-making * Greater transparency around cost and access * A more seamless, consumer-grade, and personalized patient engagement experience "Our goal is not just to help patients find care, but to guide them to the right care, at the right time, under the right conditions."

H1
Jun 3rd, 2025
CEO Insights: Solving Healthcare's Provider Data Challenge Through H1's Acquisition of Veda

Today, I'm proud to announce that H1 is acquiring Veda.

GlobeNewswire
Jun 3rd, 2025
H1 Acquires Veda to Solve Healthcare’s Provider Data Challenge and Power Better Care

Acquisition equips health plans with next-generation provider data management, enabling improved access to care and better health outcomes...

HIMSS Media
Jan 9th, 2025
H1 acquires data management company Ribbon Health

H1 has earned recognition recently, including being named one of Forbes' Best Startup Employers and being listed in the 2024 New York Digital Health 100.