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The Principal Biostatistician Consultant will oversee statistical aspects of drug development, provide statistical support, manage project timelines, mentor team members, and contribute to process improvements.

The Clinical Data Manager will oversee clinical trial data management activities, ensuring data accuracy, integrity, and compliance with regulatory standards while coordinating with cross-functional teams.

The Senior Statistical Programmer Consultant will manage programming tasks for clinical trials, oversee deliverables, and validate datasets while ensuring compliance with industry standards.

The Clinical R Programmer Consultant develops SDTM and ADaM datasets using R, supports clinical trial deliverables, ensures regulatory compliance, and collaborates with teams to analyze clinical data.

The Principal Biostatistician Consultant leads statistical methodologies and analysis for oncology clinical trials, contributing to regulatory submissions and collaborating with cross-functional teams.

The role involves leading statistical programming activities, mentoring programmers, overseeing clinical programming deliverables, and ensuring quality and compliance in regulatory submissions.

The Senior Biostatistician will lead statistical strategy for clinical trials, oversee deliverables, ensure regulatory compliance, and support cross-functional teams.

The Principal Statistical Programmer Consultant leads programming for oncology trials, ensuring programming quality and regulatory compliance while collaborating with various teams and managing timelines.

The Business Development Director is responsible for driving growth by securing new clients and expanding services, managing the full sales lifecycle, and maintaining relationships with key stakeholders in the life-sciences industry.

Lead and support statistical programming deliverables for clinical studies: implement protocol programming, ensure high-quality outputs and documentation, write/implement specifications, enforce standards and compliance, contribute best practices, manage tasks, communicate risks, and collaborate with statisticians, data managers, and study leads.