We are seeking experienced professionals with an oncology data background to join our Oncology Strategy team. In this role, you will review and validate patient-level findings generated by our AI/clinical decision support system. The work involves accessing patient charts, interpreting oncology records, and confirming the accuracy of system-generated insights.
This position is detail-oriented and requires strong oncology knowledge, attention to accuracy, and comfort working at the intersection of data, clinical practice and health technology.
Essential Duties and Responsibilities
Review system-generated findings for oncology patients and validate results against electronic medical record (EMR) data.
Lead data quality initiatives through meticulous review of patient data and help identify discrepancies.
Serve as a subject matter expert on clinical accuracy to guide the data science and product teams on the current data extractions and help propose solutions to troubleshoot extracted data.
Serve as a quality checkpoint for the Oncology Strategy team.
Assist in developing protocols and best practices for chart EMR review and system validation.
Support ongoing efforts to enhance overall integrity of clinical datasets by contributing to data dictionaries and scientific/medical knowledgebase development.
Support preparation of clinical findings and summaries for both internal reporting and client-facing deliverables.
What You Should Have
Background in oncology patient care, oncology research, tumor registry, or related clinical oncology work.
Strong working knowledge of cancer treatment pathways, oncology terminology, structured clinical data, and EMR navigation.
Proven track record managing repetitive patient review tasks while maintaining accuracy.
Strong written and verbal communication skills for documenting findings and relaying insights to clinical and technical colleagues.
Strong organizational and time management skills.
Comfort working in a fast-paced, early-stage healthcare technology environment.