- Review surgical pathology reports (narrative and CAP synoptic) and abstract diagnostic elements including tumor type, primary site, histologic subtype, grade, and stage
- Serve as liaison and communicate routinely with the pathology/medical team regarding diagnostic clarifications, unusual findings, or incomplete report elements
- Escalate medical or interpretive questions (e.g., ambiguous histology, discrepant tumor site, uncertain grade) to an on-premises or remote staff pathologist for confirmation
- Document all escalations and pathologist, ordering physician feedback within the case record and maintain audit traceability
- Map diagnoses to the appropriate IHC reflex markers and molecular test bundles using the OncoTree matrix
- Coordinate accurate entry structured diagnostic data into NeoGenomics databases and laboratory information systems
- Utilize NIS/LIS, and related databases for data entry, validation, and QC tracking
- Collaborate with Client Services, IHC Lab, Molecular Operations, and Reporting teams to resolve discrepancies
- Support continuous improvement of data flow automation and documentation processes
- Train and mentor other/new team members in abstraction, coding, and database entry
- Attain full proficiency in diagnostic abstraction, data entry, and mapping within two (2) months
- Maintain accuracy in diagnostic data abstraction and IHC/molecular mapping
- Ensure documentation of case escalations and QC outcomes
- Support continuous improvement initiatives for turnaround time and data traceability
- Bachelor’s degree in Biological Sciences, Histotechnology, Cytotechnology, Medical Laboratory Science, Health Information Management, or a closely related field required
- Master’s degree in Biomedical Informatics, Oncology Data Management, Public Health, or related discipline preferred
- 2+ years of experience in a pathology informatics, histology, oncology data, cancer registry, or molecular diagnostics environment
- Demonstrated experience abstracting pathology and oncology data, interpreting pathology reports, and entering structured information into databases
- Experience participating in or supporting diagnostic oncology studies, tumor registries, or data-driven quality initiatives involving specimen correlation and outcome tracking
- Proficiency with electronic health record systems (EHR/EMR), and laboratory information systems (LIS/NIS), REDCap, for data abstraction and validation
- Familiarity with ICD-10-CM, ICD-O-3, AJCC TNM staging, SEER/FORDS standards, and cancer registry coding preferred
- Proficiency in Microsoft Excel, SharePoint, and structured data review, reconciliation, and audit workflows
- Working knowledge of CAP, CLIA, and HIPAA data privacy standards
- Strong analytical, organizational, and problem-solving skills
- Excellent written and verbal communication skills for interaction with clinical, laboratory, and informatics teams
- Ability to manage multiple priorities in a fast-paced, high-volume laboratory environment
- Commitment to quality, data integrity, and continuous improvement
- Preferred certifications: CTR (Certified Tumor Registrar), HT/HTL(ASCP), MLS(ASCP), CCDM or equivalent combination of education and experience
Skills Required
- Bachelor's degree in Biological Sciences, Histotechnology, Cytotechnology, Medical Laboratory Science, Health Information Management, or a closely related field
- At least 2 years of experience in pathology informatics, histology, oncology data, cancer registry, or molecular diagnostics
- Experience abstracting pathology and oncology data, interpreting pathology reports, and entering structured information into databases
- Experience supporting diagnostic oncology studies, tumor registries, or data-driven quality initiatives involving specimen correlation and outcome tracking
- Proficiency with EHR/EMR systems, LIS/NIS, and REDCap for data abstraction and validation
- Familiarity with ICD-10-CM, ICD-O-3, AJCC TNM staging, SEER/FORDS standards, and cancer registry coding
- Proficiency in Microsoft Excel, SharePoint, and structured data review, reconciliation, and audit workflows
- Working knowledge of CAP, CLIA, and HIPAA data privacy standards
- Strong analytical, organizational, problem-solving, written communication, and verbal communication skills
- Ability to manage multiple priorities in a fast-paced, high-volume laboratory environment
- Commitment to quality, data integrity, and continuous improvement
- Master's degree in Biomedical Informatics, Oncology Data Management, Public Health, or a related discipline
- CTR, HT/HTL(ASCP), MLS(ASCP), CCDM, or equivalent certification
What We Do
NeoGenomics Laboratories is a leading cancer diagnostic reference laboratory that has provided high-quality cancer testing and partnership programs to pathologists and oncologists for over 10 years. We work every day to achieve our common purpose of saving lives by improving patient CARE through Communication, Accuracy, Reliability, and Efficiency. Our areas of expertise include cancer cytogenetics with industry-leading turnaround times; hematologic and solid tumor FISH testing with the largest menu of technical-only services available; 10-color flow cytometry; IHC supported by an extensive antibody library; and over 100 molecular oncology tests comprising the most comprehensive combination of multiparameter profiles and targeted biomarker tests in the industry. Our technical-only testing programs feature on-demand or live training and are available to pathologists who wish to sign out FISH, flow cytometry, and/or IHC. NeoGenomics’ extremely fast test development cycle means we are highly responsive to therapy development and guideline changes, and test design always involves a balance of convention and innovation. We support clients in many cancer-related market segments, to include: hospital and private pathology laboratories, office-based oncologists, CRO / Biopharmaceutical development organizations, academic institutions / teaching hospitals, and several more. CONNECT WITH US Online: neogenomics.com Twitter: https://twitter.com/NeoGenomics Facebook: facebook.com/neogenomics






