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Remote Clinical Data Code, Oncology

Remote, USA Full-time Posted 2025-11-24
About the job Remote Clinical Data Code, Oncology Remote Clinical Data Code, Oncology needs 2+ years of experience in clinical data coding, preferably in oncology trials. Clinical Data Code, Oncology requires: • Part time • 20 hours weekly • Bachelors degree in Life Sciences, Health Information Management, or related field. • Strong understanding of clinical trial data standards and regulatory requirements. • Excellent attention to detail and ability to manage multiple coding tasks in a fast-paced environment. • Results-driven, take initiative and ownership to accomplish work. Knowledge of ICH, Good Clinical Practice and FDA regulations. • Proficiency with Rave Coder and familiarity with MedDRA and WHO Drug dictionaries. Effective time management and organization skills. • Strong communication skills for cross-functional collaboration with CRAs, CDMs, and medical reviewers. • Experience with coding in global, multi-site oncology studies. Good interpersonal, written and verbal communication skills. Clinical Data Code, Oncology duties: • Perform ongoing medical and medication coding using Rave Coder in accordance with MedDRA and WHO Drug dictionaries. • Review and resolve auto-coded and manually coded terms, ensuring alignment with SMPA coding conventions and internal SOPs • Collaborate with Clinical Data Managers to clarify ambiguous or unclear verbatim terms and issue coding queries when necessary • Maintain coding listings and ensure all terms are coded and approved prior to database lock • Support coding-related documentation and contribute to the development and maintenance of coding guidelines and SOPs • Participate in system validation, user acceptance testing, and updates related to coding modules and dictionary integrations. • Review and resolve complex or ambiguous verbatim terms, escalating to medical reviewers or clinical teams as needed. • Monitor coding metrics and quality indicators, proactively identifying trends and areas for improvement. • Ensure adherence to Data Management standards Apply tot his job Apply To this Job

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