7 дней назад
Laboratory Data Analyst (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Laboratory Data Analyst (Python) (Clinical Laboratory Data Management): Managing and transmitting laboratory data for clinical studies with an accent on data quality, documentation, and electronic data transfer processes. Focus on developing Python solutions, configuring study and laboratory information systems, validating data files, and resolving internal and external customer queries.
Location: Pasig, Philippines
Company
provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Manage laboratory data management tasks for clinical studies and support external client reporting requirements.
- Develop and maintain data management documents, specifications, design documentation, and transmission records.
- Perform Python programming for study requirements and departmental projects.
- Support electronic data transfer processes, business rules, and master data configuration in study and laboratory information systems.
- Perform quality checks and peer reviews on data files before transmission, ensuring accuracy and completeness.
- Coordinate timelines and responsibilities with internal and external stakeholders, address queries, and support other data team leads.
Requirements
- Bachelor’s degree in Life Science or Computer Science.
- Preferred 2–3 years of experience in data management and Python programming, or an equivalent combination of education, training, and experience.
- Basic knowledge of Python programming and data management procedures.
- Understanding of medical, clinical research, and laboratory data management processes and terminology.
- Working knowledge of FDA, ICH, ISO HL7, and GLP regulatory requirements.
- Strong attention to detail, problem-solving, communication, customer management, and task management skills.
Culture & Benefits
- Work in a clinical research and healthcare intelligence environment focused on improving patient outcomes.
- Collaborate with laboratory data management teams and internal and external customers.
- Follow standardized operating procedures, working instructions, regulatory standards, and company policies.
- Support knowledge sharing by training and mentoring junior staff.
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