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Job Description
Precision for Medicine is seeking a Clinical Scientist to perform early and continuing scientific review of clinical data. The Clinical Scientist will work remotely from Poland, Hungary, Serbia, Romania or Slovakia. This role involves applying protocol and oncology standards to support data quality and consistency, enabling insights for continuous risk management. The Clinical Scientist will collaborate with internal and external project teams, promoting Precision's high-quality and ethical image.
Role involves:
- Reviewing subject data for accuracy per protocol and oncology standards.
- Maintaining relationships with project team members.
- Collaborating with Medical Monitors and other departments on data capture trends.
- Providing input into project-related documentation.
- Supporting the development and UAT of data outputs.
- Assisting with identification of quality risks and recommending corrective actions.
- Conducting UAT of programming output and participating in EDC UAT.
- Reviewing and analyzing clinical trial data sources.
- Issuing and resolving queries in EDC systems.
- Providing study-specific training for project teams.
- Developing study-specific monitoring and data review tools.
- Participating in team meetings.
- Reviewing dictionary coding.
- Establishing task tracking metrics.
- Ensuring eTMF documentation is managed.
Requirements:
- Bachelor’s degree in science or healthcare discipline.
- Proficiency in medical terminology.
- At least two years in clinical operations, data management, or related discipline.
- Experience in oncology clinical research.
- Oncology therapeutic experience.
- Experience in phase I, II, and III oncological trials preferred.
- Experience with electronic data capture systems (EDC) and data visualization tools preferred
- Computer proficiency.
- Working knowledge of FDA & ICH/GCP regulations and guidelines.
- Medical related degree, RN, OCN, RPH, PharmD, etc. preferred.
Role offers:
- Opportunity to work remotely.
- Involvement in various aspects of clinical data review and analysis.
- Collaboration with cross-functional teams.
