Associate Patient Data Specialist

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Analyze subject data from various sources to uncover trends, assess risks, identify gaps, and discover optimization opportunities.

• Prepare, process, and evaluate datasets related to clinical trial patients.

• Adjust data-related tasks to meet changing study requirements.

• Provide clear and accurate updates to study teams and key stakeholders.

• Enhance professional skills through mentorship, training, and contributions to best practices and departmental documentation.

• Gain insight into protocol schedules of events, EDC systems, contracts, budgets, and payment terms.

• Report performance issues to Clinical Operations, Site Payments, and IT Managers.

• Facilitate internal team meetings and share progress updates on subject data status.

• Assist with system setup and maintenance tasks and help address related issues.

⛳️ Requirements

• Bachelor’s degree in Life Sciences, Engineering, Biostatistics, Programming, or a related discipline.

• Preferred: 6 months to 1 year of experience in clinical research, process improvement, or data analytics.

• Strong capability to work autonomously and lead multidisciplinary discussions when necessary.

• Comfortable making decisions and adhering to proper documentation practices.

• Proven ability to adjust to ongoing changes and shifting priorities.

• Familiarity with database structures and complex data systems.

• Advanced skills in Microsoft Excel.

• Keen attention to detail and quality control proficiency.

• Strong analytical and problem-solving abilities.

• Exceptional written and verbal communication skills in English.

• Excellent organizational and multitasking abilities, with a capacity to meet tight deadlines.

• Positive attitude, collaborative mindset, initiative, and self-motivation.

🏝️ Benefits

• Fully remote work setup.

• Standard work schedule from Monday to Friday.

• Opportunities for mentorship and training.

• Professional skill development in programming, technology, data analytics, and clinical trial methodologies.