Senior Clinical Data Manager

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November 21

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Lifelancer

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Artificial Intelligence • Biotechnology • Pharmaceuticals

Lifelancer is an AI-powered talent hiring platform that connects employers with skilled professionals in the Life Sciences, Pharmaceutical, and IT sectors. It enables individuals to create profiles showcasing their skills, get matched with high-paying international jobs or projects, and facilitates hiring and payroll for employers in multiple countries. The platform aims to streamline the hiring process with efficient AI sourcing and compliance support.

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

💰 Pre Seed Round on 2022-03

📋 Description

• Independently lead data management study activities, CRO oversight, and driving deliverable timelines. • Strong knowledge of EDC builds utilizing RAVE. • Represents data management function on the Clinical Sub-team ensuring aligned expectations between the CRO and client for all data related deliverables, especially in support of key decision points and regulatory submissions. • Contributes influential leadership in collaboration with other client Stakeholders to ensure established milestones and deliverables are met with the highest degree of quality. • Partners with appropriate stakeholders and CRO partners to mitigate and resolve risks. • Provides input to functional governance with client strategic suppliers. • Partners with appropriate stakeholders to resolves issues escalated from the vendor and/or cross-functional teams. • Participates in preparing function for submission readiness and may represent function in a formal inspection or audit. • Participates and represents function in formal inspections and audits as requested. • Ensure archival and inspection readiness of all Data Management Trial Master File (TMF) documents. • Ensures achievement of major data management deliverables and milestones in coordination with other functions including the Therapeutic Area Units, Clinical Operations, Statistical Programming and Statistics. • Responsible for the planning and management of external Data Management budgets and timelines to ensure accuracy, understand trends in variances and support continuous improvement in forecasting. • Acts as a process expert for operational and oversight models. • Maintains SOPs, process maps and templates and timelines to support functions 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. • Works cross-functionally to ensure the quality of the data in each database and on time delivery, as well as quality of other data management deliverables. • Utilizing your strong communication skills to present and explain data management concepts and consequences of decisions.

🎯 Requirements

• Proven recent experience as a Lead Clinical Data Manager with substantial RAVE experience. • Bachelor's Degree in a science, health related, or information technology field required. • Minimum 6 years experience in Clinical Data Management with at least 3 as a Lead. • 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.