Mary Bird Perkins Cancer Center is looking to improve survivorship and lessen the burden of cancer by providing state-of-the-art treatments and unparalleled collaborative, comprehensive cancer services, and is seeking a CIBMTR Data Analyst for Quality to support the cellular therapy program by managing and interpreting clinical outcomes data.
Requirements
- Familiarity with CIBMTR form types (TED, CRF), Med-A/B reporting, and stem cell therapy workflows.
- Experience supporting FACT accreditation or registry audits is highly desirable.
- Certified Clinical Data Manager (CCDM) or Certified Tumor Registrar (CTR) preferred.
- CITI/GCP training or completion of CIBMTR onboarding modules strongly encouraged.
- Strong understanding of transplant and cellular therapy processes, including stem cell mobilization, infusion, engraftment, and post-transplant surveillance.
- Familiarity with FACT standards, CIBMTR form submission protocols, and EMR integration with registry platforms.
- Proficient in Excel or database reporting tools.
Responsibilities
- Collect, validate, and submit required patient, product, and outcome data to the CIBMTR registry following required timelines.
- Audit source documentation for completeness and consistency with CIBMTR data entry; resolve data discrepancies proactively.
- Collaborate with physicians, coordinators, and the FACT program team to align data collection with clinical workflows and accreditation readiness.
- Analyze transplant and cellular therapy outcomes data to identify trends and support performance improvement efforts.
- Generate and present routine reports and dashboards for internal committees and leadership, integrating quality, safety, and compliance metrics.
- Assist in survey readiness activities related to FACT accreditation and CIBMTR audit preparation, including documentation and file audits, and SOP review/revisions.
Other
- Minimum of 5 years of experience in CIBMTR reporting or healthcare data analysis, registry abstraction, preferably within a transplant or oncology setting.
- Detail-oriented with ability to manage multiple data deadlines and competing priorities.
- Strong interpersonal skills to liaise between clinical, quality, and administrative teams.
- Self-directed with strong problem-solving skills and comfortable working independently.
- Adaptable in a fast-paced environment with shifting regulatory and clinical priorities.
