
51 - 200 employees
Founded 2020
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Pre Seed Round on 2022-03
Consulting • Healthcare • Logistics
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.
🔥 19 hours ago
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51 - 200 employees
Founded 2020
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Pre Seed Round on 2022-03
Consulting • Healthcare • Logistics
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.
• Support the Centralized Monitoring Lead in developing fit-for-purpose centralized monitoring strategies • Contribute to identifying Quality Tolerance Limits, Key Risk Indicators, data visualizations, and Data Quality Assessments • Set up and program QTLs, KRIs, and Data Quality Assessments according to the study Centralized Monitoring Plan • Refresh the Centralized Monitoring Platform at predefined frequencies to enable signal identification • Generate and maintain Centralized Monitoring Platform specifications and file them in the eTMF • Review and understand study protocols • Understand study data sources, transfer specifications, and data structures • Execute and document peer reviews of platform setups completed by other CMA colleagues • Work directly with the sponsor client to manage deliveries
• At least 3 years relevant experience in pharmaceutical research and development or related field, preferably in centralized monitoring, data management, and/or biostatistics • 2–3 years of SAS experience, including macro language • Knowledge/experience working on Cluepoints • Ability to work autonomously and engage with relevant stakeholders • Ability to understand basic statistical analysis concepts and interpret outcomes • Ability to maintain confidentiality of data and information • Ability to work with limited close supervision • Demonstrated communication, interpersonal, organizational, and problem-solving skills • High levels of initiative, drive, and commitment • Prior experience in a Data Management-related field • Experience with relational databases, preferably Clinical Data Management and EDC systems • Experience communicating with all levels of personnel and participating in collaborative work teams, locally and globally • Advanced knowledge of federal regulations, Good Clinical Practice, and Good Clinical Data Management Practices • Excellent verbal and written command of English • This role is not eligible for UK visa sponsorship
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