Data Standards SME
Role Overview
The Data Standards SME provides data standards support for multiple complex clinical research projects or study teams.
The role develops clinical data standards, supports CDASH database builds, and helps align study design with CDISC requirements.
Key Skills for This Role
Full Job Posting
Role Overview
The Data Standards SME provides data standards support for multiple complex clinical research projects or study teams.
The role develops clinical data standards, supports CDASH database builds, and helps align study design with CDISC requirements.
About Emmes Group
Emmes Group combines people, science, and technology across clinical research, technology, data, and analytical solutions.
The organization works across areas including cell and gene therapy, vaccines, infectious diseases, ophthalmology, rare diseases, and neuroscience.
Responsibilities
- Provide guidance on SDTM standards and submission requirements, including annotated CRFs, define.xml or PDF, Reviewer’s Guides, and XPT files.
- Develop SDTM standards for CRF and non-CRF data, controlled terminology, non-CRF mappings, CDASH database builds, and other industry standards.
- Advise Data Management on CRF design, programmed edit checks, and data transfer specifications.
- Provide SDTM mapping specifications and annotated CRF inputs to Statistical Programming teams.
- Develop programming documentation, specifications, and annotations in compliance with SOPs and regulatory guidance.
- Collaborate with clinical research, biostatistics, and data management teams to align study design with CDISC requirements.
- Maintain current CDISC expertise, present at industry forums, provide project updates, and comply with organizational policies.
Required Qualifications
- A bachelor's degree is required; a master's degree or PhD is preferred.
- The role requires 4 to 6 years of Data Standards experience in a pharmaceutical or CRO environment, with the stated threshold varying by degree level.
- Experience is required in CDISC SDTM, controlled terminology, non-CRF mappings, CDASH database builds, SDTM annotations, submission documentation, and clinical data specifications.
- Understanding of GCP principles and FDA, EMA, and ICH regulatory guidance is required.
- Strong analytical, communication, organization, prioritization, problem-solving, decision-making, and time-management skills are required.
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