Merck
Associate Director, Clinical Data Management
- Location
- (Multi-state)
- Posted
- Posted today (employer shows the date only)
- Source
- Workday (employer's applicant tracking system)
- Category
- Engineering/Technology
- Industry
- Pharma/Biotech
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Job Description
The Associate Director, Data Collection Data Steward, Global Data Management and Standards (GDMS), Global Clinical Data Standards (GCDS) provides program-level oversight of data standards, guiding study teams on library use and first-line governance while advancing new/modified standards and business processes. Lead Therapeutic Area Standards Teams (TASTs), training, support information governance, track conformance/benefits, and mentor junior staff.
Responsibilities
- Define and maintain standard data collection (EDC [Electronic Data Capture] and non-EDC modalities) definitions aligned with industry standards (e.g., CDISC [Clinical Data Interchange Standards Consortium]) and Health Authority regulations and guidance; ensure harmonization across the clinical lifecycle (collection, analysis and reporting, and submission).
- Participate and lead organization initiatives as needed.
- Support audits and inspections as required.
- Support assigned information governance reviews (e.g., triage, impact assessment, curation, and stakeholder feedback/continuous improvement) via TAST (Therapeutic Area Standards Teams) and the SLIC (Shared Clinical Data Standards Council) governance teams.
- Develop and deliver Standards training and best-practices to cross-functional teams.
- Participate in training development, training delivery, and mentoring to members of the Global Clinical Data Standards team.
- Engage in industry forums, maintaining network of contacts, and influence industry strategic direction and clinical data standards development. Identify trends in developments of technologies, evolution in industry standards and regulatory requirements, and identify implications on our company's standards implementations.
- Act as a reliable partner to GDMS and other cross-functional teams, actively seeking input, aligning on priorities, and closing feedback loops to drive high-quality, coordinated delivery.
- Provide oversight and expertise within one or multiple TAs (Therapeutic Areas) on data collection/data transformation design and data modeling to all staff, assuring consistency with established standards guidelines.
- Work as a sitting member of the core design team for assigned studies and provide first line governance support for changes to existing library forms and new content.
- Support the development of future standards libraries (including in new therapeutic areas) and reviews of existing processes within SOPs (Standard Operating Procedures), WIs (Work Instructions), etc., ensuring they are in-line with quality requirements.
- Participate in assigned operational and study team forums ensuring clinical data standards align with industry standards, our company's standards and processes, and information management best practices.
- Support the definition and maintenance of the data collection Functional Area business processes and supporting technologies related to the definition, maintenance, application, and sharing of clinical data standards.
Technical skills
- Expertise in clinical data standards development and implementation.
- Deep knowledge of and experience with applying CDISC Clinical Study Data standards (e.g., CDASH [Clinical Data Acquisition Standards Harmonization], Controlled Terminology, SDTM [Study Data Tabulation Model]).
- Deep understanding of and experience with clinical development trial processes, including data management and worldwide regulatory DM (Data Management) & reporting requirements.
- Demonstrated understanding of program-level clinical and business requirements and impact of standards
- Strong knowledge of the Drug Discovery Process, ICH (International Council for Harmonization) and GCP (Good Clinical Practice) guidelines.
- Demonstrated knowledge in at least 1 TA with ability to drive consistency across all studies in a clinical development program and/or therapeutic area
- Knowledge of Analysis & Reporting.
- Expertise in electronic Data Capture and external supplier data
- Ability to take an enterprise-wide view of study needs that is inclusive of Controlled Terminology, SDTM, analysis and reporting, and submission targets and deliverables to ensure appropriate application of standards.
- Ability to interpret the study protocol as it relates to study design. Ability to interpret protocol requirements to facilitate cross-functional understanding of data types and sources which are then translated into high quality, compliant data standard definitions.
Preferred:
- Direct experience implementing industry standards (e.g., Controlled Terminologies, CDISC CDASH, SDTM, ADaM [Analysis Data Model], & HL7 [Health Level Seven International]) and requirements for analysis & reporting and submission deliverables (e.g., SDRG [Study Data Reviewer's Guide], ADRG [Analysis Data Reviewer's Guide], Define.xml).
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