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Globalchannelmanagement logo

Remote Clinical Data Code, Oncology

Globalchannelmanagement
Posted May 28, 2026, 12:20 AM UTC
🇺🇸United States🏠Remote📁Healthcare/Clinical
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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

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