5 дней назад
Lab Data Coordinator (Python)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lab Data Coordinator (Python): Managing clinical study data transmissions, documentation, quality checks, and stakeholder queries in a laboratory data environment with an accent on data accuracy, regulatory compliance, and process coordination. Focus on developing Python solutions, validating data files, maintaining transmission records, and coordinating timelines with internal and external teams.
Location: Pasig, Philippines
Company
IQVIA provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Perform Python programming activities for ongoing clinical studies and departmental projects.
- Create and review data management documents, specifications, and design documentation.
- Coordinate data transmission activities, including file quality checks, peer review, evidence tracking, and study closure.
- Collaborate with LDM colleagues and provide backup support for other Data Team Leads.
- Coordinate timelines and responsibilities with internal and external stakeholders.
- Resolve customer queries and maintain accurate, complete, and timely deliverables.
Requirements
- High school diploma or equivalent; fresh graduates are welcome to apply.
- Computer proficiency, especially Microsoft Office and Excel.
- General understanding of medical and clinical research.
- Strong attention to detail, analytical skills, self-direction, and a quality-focused approach.
- Ability to identify process improvements and communicate effectively with peers, senior colleagues, and internal or external customers.
- Commitment to ethical work, regulatory standards, and company procedures.
Culture & Benefits
- Work within a global clinical research and healthcare intelligence organization.
- Collaborate with internal and external stakeholders across data management activities.
- Follow structured standard operating procedures and working instructions.
- Support quality, integrity, and compliance in clinical data operations.
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