Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Assoc. Patient Data Specialist

Overview

The Associate Patient Data Specialist works with a high degree of independence and performs critical data assessments in collaboration with study teams and other departments to identify optimal approaches for subject data manipulation. This role leads or contributes to interdepartmental discussions to evaluate strategies and best practices based on study-specific requirements and diverse data sources.

Key Responsibilities

· Review subject data from multiple sources using an analytical mindset to identify trends, risks, gaps, and areas for optimization as the study progresses.

· Prepare, process, and analyze clinical trial patient datasets, adapting effectively to evolving study requirements.

· Communicate concise and accurate updates to study teams and key stakeholders.

· Continuously develop professional skills in programming, technology, data analytics, and clinical trial methodologies through mentorship, training, and contributions to departmental best practices and documentation.

· Develop a thorough understanding of protocol schedules of events, EDC systems, contracts, budgets, and payment terms.

· Escalate performance issues to Clinical Operations, Site Payments, and IT Managers following established escalation pathways.

· Lead internal team meetings and provide progress updates on subject data status.

· Support system setup and maintenance activities and assist with resolution of related issues.

Qualifications

· Bachelor’s degree in Life Sciences, Engineering, Biostatistics, Programming, or a related field.

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

· Strong ability to work independently and lead multidisciplinary discussions when needed.

· Comfortable with decision-making and maintaining proper documentation practices.

· Demonstrated ability to adapt to continuous change and evolving priorities.

Core Skills

· Understanding of database structures and complex data systems.

· Advanced proficiency in Microsoft Excel.

· Strong attention to detail and quality control capabilities.

· Effective problem-solving and analytical skills.

· Excellent written and verbal communication skills in English.

· Strong organizational and multitasking skills with the ability to meet tight deadlines.

· Positive attitude, teamwork mindset, initiative, and self-motivation.