Sr. Data Quality Specialist

Sr. Data Quality Specialist – Norstella

Location:

Remote, United States

Date Posted:
Feb 12, 2026

Employment Type:

Full Time

Job : R-1722

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites market-leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision-making. We help our clients:

• Accelerate the drug development cycle
• Assess competition and bring the right drugs to market
• Make data driven commercial and financial decisions
• Match and recruit patients for clinical trials
• Identify and address barriers to therapies

Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella’s investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

We are seeking a Senior Data Quality Specialist to join Norstella’s Real-World Data (RWD) organization. This role is a senior individual contributor position responsible for driving data quality excellence across RWD assets, pipelines, and client deliverables.

The Senior RWD Data Quality Specialist will serve as a subject-matter expert in healthcare data quality, leading complex investigations, defining scalable quality controls, and partnering closely with engineering, product, delivery, and client-facing teams. This role plays a critical part in ensuring the accuracy, consistency, and reliability of Norstella’s RWD products, while also helping to evolve the broader data quality framework that supports the ecosystem.

• Lead comprehensive data quality assessments across RWD pipelines, source data, harmonized datasets, and client deliverables
• Serve as an escalation point for complex or high-impact data quality issues affecting clients or downstream teams
• Perform in-depth investigations of data anomalies using SQL, dashboards, and pipeline logs to identify root cause
• Translate findings into clear remediation plans and prevention strategies
• Design, implement, and refine proactive data quality checks that improve detection of issues at ingestion, harmonization, and delivery stages
• Partner with engineering and data science to embed quality controls into automated workflows
• Contribute to the definition of data quality measures, thresholds, and KPIs that improve the resilience of the broader RWD system
• Identify systemic quality risks and recommend process or architectural improvements
• Collaborate closely with data engineers, analysts, product, and delivery teams to resolve quality issues efficiently
• Work directly with external data vendors to validate source data, logic, and refreshes when issues are identified
• Work with internal teams on data changes and enhancements
• Provide guidance to client-facing teams on data questions, limitations, and interpretations
• Clearly communicate data quality findings, risks, and impacts to both technical and non-technical stakeholders
• Maintain thorough documentation of investigations, root-cause analyses, and resolutions
• Contribute to SOPs, data dictionaries, and internal knowledge bases related to data quality practices
• Draft internal data release documentation as it relates to data product changes
• Stay current on industry best practices, emerging technologies, and regulatory considerations related to healthcare data quality
• Mentor junior data quality team members and promote consistent quality standards across the organization
• Ad hoc duties as assigned