Who We Are
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Description
Verily is seeking a strategic, clinical-grade operator to lead our Real-World Data (RWD) Operations function. This is a pivotal leadership role responsible for architecting the "Human-in-the-Loop" engine that transforms fragmented, unstructured medical records into regulatory-grade, "Gold Standard" datasets.
You will bridge the gap between complex clinical nuance (Hematology, Oncology, Immunology) and technical execution. Your mission is to build a scalable, audit-ready operation that serves as the foundation for Verily’s AI-driven evidence generation.
Responsibilities
- Clinical Data Architecture & Governance
- Define the Logic: Act as the primary architect of the Clinical Data Dictionary (CDD) and abstraction protocols. You aren't just managing a process; you are defining the clinical rules for "Ground Truth," resolving complex edge cases, and establishing the logic for "inconclusive" or disparate clinical results.
- Audit-Ready Provenance: Establish and maintain a rigorous Quality Management System (QMS). Ensure every data point has a verifiable audit trail back to the source EHR, pathology report, or cytogenetic record, meeting the standards required for FDA/EMA submissions.
- Ontology Leadership: Drive the standardization of unstructured data into global clinical ontologies (SNOMED CT, LOINC, RxNorm, HGNC, etc.), ensuring data is research-ready and interoperable.
- AI-Enabled "Human-in-the-Loop" (HITL) Strategy
- Ground-Truth Engineering: Partner with Research and Data Science teams to design high-fidelity labeling tasks that train, validate, and tune machine learning models.
- Product Feedback Loop: Act as the lead stakeholder for Internal Product and Engineering teams. You will define the roadmap for internal tooling, identifying where AI-assisted "pre-abstraction" can increase efficiency without sacrificing clinical integrity.
- Strategic Vendor & Workforce Management
- "Make vs. Buy" Stewardship: Own the unit economics of data generation. Evaluate the ROI of leveraging high-cost clinical vendor experts versus building internal specialized teams or offshore BPO resources.
- Vendor Accountability: Manage external Abstraction Vendors against aggressive KPIs, including ≥98% Accuracy, ≥95% Inter-Abstractor Reliability (IAR), and ≥99% Completeness.
- Clinical Calibration: Lead regular "Clinical Reconciliation" sessions with vendors to resolve discrepancies in complex data, ensuring external judgment aligns with established standards.
- Operational Scaling & Unit Economics
- P&L Ownership: Manage the budget for the RWD abstraction function, focusing on driving down "Cost-per-Patient-Record" while maintaining "Gold Standard" quality.
- Global Expansion: Design the operational blueprint for scaling beyond US-English EHRs, navigating multi-language abstraction and international regulatory environments.
Qualifications
Minimum Qualifications
- 10+ years of experience in clinical data operations, clinical trial management, or real-world evidence (RWE).
- Deep Clinical Literacy: Expert understanding of medical terminology, cancer biology, and diagnostic testing (e.g., NGS, flow cytometry, cytogenetics).
- Systems Thinking: Proven track record of scaling operations from pilot to production, specifically managing teams of 50+ or high-stakes clinical vendors.
- Technical Fluency: Comfort working with Product/Eng teams and a functional understanding of how manual data fuels AI/ML models.
Preferred Qualifications
- Advanced degree (RN, MD, PhD, or MPH) with a focus on clinical informatics or research.
- Direct experience with Oncology data or Hematologic Malignancies.
- Experience in a high-growth "Health-Tech" or "Biotech" environment.
This role is eligible for Verily-sponsored immigration support.
The US base salary range for this full-time position is $182,000 - $273,500 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form
