Oncology Data Specialist

## **Oncology Data Specialist** **Job Description** 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? email keithanderson@oncolens.com