Clinical Data Quality & Abstraction Lead Full Time

About Us: Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation.

The Opportunity

We’re hiring a Clinical Data Quality & Abstraction Lead to own the clinical accuracy and reliability of the data Savant delivers. You’ll sit at the intersection of clinical operations, abstraction strategy, and quality assurance — helping ensure that the structured outputs we generate meet the highest bar for precision and consistency. This role is ideal for someone who understands both the clinical nuance of chart review and the operational discipline of QA. You’ll define what “good” looks like — and build the processes, feedback loops, and tooling that help us achieve it across every project.

What You’ll Do

• Define clinical data quality standards and lead abstraction QA processes across projects
• Review structured outputs against source documentation to ensure accuracy, context preservation, and clinical fidelity
• Build workflows and SOPs to support consistent, reproducible abstraction across disease areas
• Collaborate with clinical SMEs, engineers, and product teams to iterate on extraction logic and edge-case handling
• Identify discrepancies, trends, and system-level gaps — and design solutions to improve reliability at scale
• Support onboarding of new clinical projects and ensure abstraction guidelines are clear, auditable, and aligned with partner expectations

What We’re Looking For

• 5+ years experience in clinical data abstraction, QA, registry data management, or clinical informatics
• Strong knowledge of EMR documentation, clinical workflows, and health data standards
• Demonstrated experience developing or overseeing structured abstraction protocols and quality control frameworks
• Meticulous attention to detail and a passion for clinical accuracy
• Ability to work cross-functionally with technical and non-technical teams
• Comfort navigating ambiguity in a fast-moving, early-stage environment

Why This Role Is Different

• High-impact, high-visibility: the data you validate supports research, care, and product decisions
• Blend of clinical insight and operational ownership: you set the quality bar and help the system reach it
• Autonomy and trust: own a core function in a mission-driven, fast-moving company
• Build what you always wished existed: better tools, clearer rules, smarter workflows

Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $110,000 to $160,000 per year, with significant equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions.

Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs.

This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions.

Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.