Senior Regulatory Data Manager, Nicotine Sciences
Listed on 2026-09-21
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IT/Tech
Data Scientist, Data Analyst -
Research/Development
Data Scientist
Senior Regulatory Data Manager, Nicotine Sciences
Regulatory Data Management | FDA CTP Studies | TPPI, AUS, and Regulated Nicotine Research
About M/A/R/C ResearchM/A/R/C Research delivers high-quality marketing, public health, and regulatory research for clients operating in complex and highly regulated categories. Our teams combine rigorous study design, advanced data collection technologies, defensible analytics, and strong quality controls to produce reliable, audit-ready evidence.
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Position SummaryThe Senior Regulatory Data Manager, Nicotine Sciences, leads the planning, implementation, validation, quality review, and delivery of regulated study data for nicotine and tobacco product research. This role supports Tobacco Product Perception and Intention (TPPI) studies, Actual Use Studies (AUS), Post marketing Surveillance Studies (PMSS), and other related FDA Center for Tobacco Products (CTP) research programs. The position serves as the primary steward of study data from protocol review through database lock, final reporting, and client-ready regulatory deliverables.
The role requires strong regulatory data management discipline, a practical understanding of survey and electronic data capture environments, and the ability to translate protocol requirements into controlled data collection, review, transfer, and reporting processes. The ideal candidate can work across project management, research, compliance, biostatistics, analytics, field operations, clients, sponsors, and external vendors while maintaining data integrity, inspection readiness, and operational efficiency.
Key Responsibilities Nicotine Sciences Data Management- Lead data management activities for regulated nicotine science studies, including TPPI, AUS, PMSS, consumer perception, intention, behavioral, and related public health research programs.
- Establish and monitor data quality metrics across assigned studies, including completeness, consistency, discrepancy status, query aging, reconciliation status, and database lock readiness.
- Conduct routine data review, cleaning, query generation, discrepancy resolution, and exception documentation.
- Ensure study data and documentation support applicable regulatory, client, and internal quality requirements, including FDA expectations, 21 CFR Part 11, ICH-GCP where applicable, HIPAA, GDPR where applicable, CDISC standards, and internal SOPs.
- Support risk-based quality management, audit readiness, and inspection response activities.
- Perform or oversee reconciliation of external vendor data, qualitative coding, laboratory or test data, digital health data, and other ancillary datasets when included in the study scope.
- Ensure data accuracy, integrity, security, audit trails, controlled access, and traceable documentation throughout the study lifecycle.
- Coordinate interim and final database lock and unlock activities, ensuring queries, reconciliation items, and quality exceptions are resolved or documented before lock.
- Produce data listings, status reports, data quality dashboards, and study-level data management metrics.
- Deliver clean, analyzable datasets and supporting documentation to biostatistics, analytics, clients, sponsors, and regulatory teams.
- Support preparation of technical reports, study reports, regulatory submission materials, data transfer packages, and audit responses.
- Partner with biostatistics and analytics teams to support CDISC-aligned outputs, including CDASH, SDTM, and ADaM where required by the study.
- Serve as the lead data management representative for assigned nicotine science studies.
- Collaborate with clients, sponsors, project managers, research directors, statisticians, data scientists, compliance teams, field operations, technology teams, and external vendors.
- Participate in protocol reviews and study design discussions to confirm feasibility, data quality expectations, and downstream reporting requirements.
- Provide clear guidance and training on data management processes, system usage, documentation standards, and study-specific requirements.
- Communicate data risks, decisions, and status updates in a concise, business-appropriate manner for technical and non-technical stakeholders.
- Contribute to SOP development, controlled document updates, and continuous improvement initiatives for regulated research data management.
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