Remote Pharmaceutical Data Manager

About the Role

Our client is seeking a highly skilled and detail-oriented Remote Pharmaceutical Data Manager to oversee the collection, management, and integrity of data from clinical trials and research studies. This fully remote position is critical for ensuring that high-quality, accurate, and reliable data is available to support regulatory submissions and decision-making processes. You will work closely with clinical operations, biostatistics, and programming teams to establish data management plans, design databases, and ensure adherence to global standards.

This role offers a unique opportunity to contribute to life-saving research while enjoying the flexibility of working from home, utilizing advanced data management systems and adhering to rigorous quality standards.

• Develop and manage Clinical Data Management Plans (CDMPs) for clinical studies.
• Design, build, and validate study databases using Electronic Data Capture (EDC) systems.
• Oversee data entry, data cleaning, and query resolution processes to ensure data accuracy and completeness.
• Develop and execute data validation checks and reporting procedures.
• Ensure compliance with ICH guidelines, GCP , and relevant data privacy regulations.
• Collaborate with biostatisticians and programmers to facilitate data analysis and reporting.

• Bachelor's degree in a scientific, statistical, or computer science field.
• Minimum of 4 years of experience in clinical data management within the pharmaceutical or CRO industry.
• Proficiency with EDC systems (e.g., Medidata Rave, Oracle Clinical) and data management tools.
• Strong understanding of clinical trial processes, ICH-GCP guidelines, and CDISC standards.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Effective communication and collaboration skills for a remote work environment.

• Competitive salary and comprehensive benefits package.
• Fully remote position offering significant work-life balance.
• Opportunities for professional growth and advancement in clinical data management.
• Access to cutting-edge data management technologies and training.
• A supportive and collaborative team environment focused on scientific rigor and data integrity.