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.