Senior Clinical Data Manager

The Senior Data Manager brings advanced understanding of the clinical data management process from study start-up through database lock, including database design and data validation as per the requirements in the clinical study protocols, data review plan, & data management plan.

Responsibilities

Provide UAT support of screens, edit checks, and dynamics.

Complete Query QC activities.

Support data cleaning, data reconciliation, and QC of data management documents.

Partners with appropriate stakeholders and CRO partners to mitigate and resolve risks.

Partners with appropriate stakeholders to resolves issues escalated from the vendor and/or cross-functional teams.

Ensure archival and inspection readiness of all Data Management Trial Master File (TMF) documents.

Acts as a process expert for operational and oversight models..

May prepare metrics to support the function’s KPIs.

Represents function in external professional initiatives and organizations such as SCDM, CDISC, DIA, etc. to identify industry best practice and increase the visibility of client.

Contributes to functional Continuous Improvement initiatives, providing strategic direction and identifying key deliverables that meet timelines, budget, and are in alignment with company, departmental or functional requirements.

Ensure compliance with own Learning Curricula, corporate and/or GXP requirements.

Performs other duties as assigned.

Qualifications

100% Remote in India.

Bachelor's Degree in a science, health related, or information technology field required.

Minimum 6 years' experience in Clinical Data Management.

Excellent communication skills are a requirement.

Experience and understanding of data review listings and visualizations to include creation of specifications, presentation to cross functional team, and modification of specs to meet team requirements.

Experience with all phases of development in one or more therapeutic areas preferred.

Strong knowledge of data management best practices & technologies as applied to clinical trials.

Solid understanding of clinical trial documents (protocols, statistical analysis plans, CRFs, study reports) and processes.

Strong knowledge of FDA and ICH regulations and industry standards applicable to data capture and data management process.

Strong knowledge of broad drug development process with expertise in the cross-functional interfaces with the data management function.