Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. The Clinical Data Manager will oversee synthetic clinical data generation, clinical data-room quality control, CDISC/SDTM conformance, EDC lifecycle activities, cross-file reconciliation, and development of clinical data-management tasks and reference outputs.
Responsibilities
- Lead the generation and validation of high-quality synthetic clinical trial data
- Ensure data structures reflect realistic clinical development and data-management workflows
- Review patient-level records for completeness, consistency, and plausibility
- Maintain alignment between protocol requirements and generated datasets
- Identify inconsistencies or missing relationships across clinical data artifacts
- Review complete clinical data rooms for realism, internal consistency, and traceability
- Ensure information reconciles across protocols, raw datasets, derived datasets, TLFs, and narratives
- Verify that patient-level data flows correctly across all downstream outputs
- Identify discrepancies between source information and summary metrics
- Apply end-to-end data-management judgement rather than reviewing files in isolation
- Apply hands-on knowledge of CDISC and SDTM standards
- Review dataset structures, variables, domains, controlled terminology, and conformance
- Identify mapping, formatting, and traceability issues
- Evaluate whether transformed datasets accurately reflect underlying source data
- Support consistent application of standards across study-level data packages
- Apply experience across EDC design, build, validation, and study conduct
- Review CRF structures, edit checks, data-entry logic, and downstream data flow
- Evaluate data-cleaning and reconciliation workflows
- Assess readiness for database freeze and lock
- Identify unresolved issues that could compromise final data integrity
- Verify consistency between patient records, datasets, TLFs, narratives, and summary outputs
- Ensure participants referenced in one artifact are represented correctly across related files
- Identify mismatched values, missing records, inconsistent denominators, or contradictory outputs
- Assess whether folded or aggregate metrics reconcile to patient-level data
- Maintain traceability from source data through final reporting outputs
- Validate synthetic data rooms for completeness, realism, and professional quality
- Identify implausible clinical-data patterns or inconsistencies
- Review whether expected artifacts are present and appropriately linked
- Evaluate data lineage and evidence provenance across the data package
- Apply a verify-before-finalise approach to all major outputs
- Design realistic clinical data-management tasks based on authentic workflows
- Develop clear prompts, expected outputs, and evaluation criteria
- Produce authoritative reference solutions for data-room and reconciliation tasks
- Define standards for correctness, traceability, and completeness
- Create tasks that reflect how experienced clinical data managers work in practice
Skills
- * **5+ years of professional clinical data management experience**, with **10–25 years preferred**
- * Demonstrated managerial oversight of complete clinical data rooms
- * Strong hands-on expertise with **CDISC and SDTM conformance**
- * Experience managing EDC workflows from build through **database lock**
- * Strong understanding of clinical datasets, TLFs, narratives, and cross-file reconciliation
- * Ability to identify inconsistencies across patient-level and aggregate data
- * Experience ensuring traceability across protocols, datasets, outputs, and reporting artifacts
- * Strong knowledge of clinical data lifecycle, cleaning, validation, and database closeout
- * Comfortable leading complex data-quality and reconciliation workflows
- * No specific degree is required; substantial hands-on experience is the primary qualification
- * Strong written communication and ability to document data-quality findings clearly
- * Based in the **United States, Canada, or France**
- * Part-time independent contractor engagement
- * Fully remote
- * Minimum availability of approximately **20–25 hours per week**
- * Flexible scheduling based on project requirements
- * H1-B and STEM OPT support is unavailable for this engagement
- 10–25 years preferred
- * Availability of **30+ hours per week** is strongly preferred
Benefits
- Part-time independent contractor engagement
- Fully remote
- Flexible scheduling based on project requirements
Company Overview