Oncology Data Specialist

Oncology Data Specialist 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. Preferred Qualifications Clinical credentials (RN, NP, CTR, ODS, CCRA, etc.) with oncology experience. Experience validating clinical decision support tools, quality improvement projects, or technology-enabled workflows. Familiarity with oncology biomarkers, clinical trial patient screening, and/or precision medicine initiatives. Prior experience collaborating with data science and/or informatics teams. What Youll Learn Firsthand exposure to how oncology informatics tools are developed, validated, and scaled in a startup setting. Collaboration with multidisciplinary teams including oncology strategy leaders, data scientists, and product managers. How advanced AI / LLM-powered systems are applied in real-world oncology workflows. Opportunity to contribute to innovation that directly impacts patient outcomes and cancer care delivery. Excited to learn more? View email address on click.appcast.io #J-18808-Ljbffr