Programmeur Python – Données de laboratoire / Python Programmer – Laboratory Data

IQVIA•Mississauga, ON

1d•CA$54,200 - CA$90,300•Remote

About The Position

We are seeking a Laboratory Data Analyst (Python) to join IQVIA Laboratories. The candidate must be located in Canada to be eligible. This is a remote position within Canada. We hire passionate innovators who drive healthcare forward through thoughtful and inclusive collaboration. If you want to discover a career with greater purpose, join us as we transform and accelerate research and development. As a Laboratory Data Analyst, you will manage laboratory data workflows, apply Python programming expertise, and ensure high-quality, compliant data delivery for clinical studies.

Requirements

Bachelor’s degree in a scientific, technical, or related field.
2–3 years of experience in Data Management and Python programming.
Working knowledge of clinical research, laboratory data processes, and regulatory standards (FDA, ICH, ISO HL7, GLP).
Proficiency with Windows OS and Microsoft Office applications.
Functional knowledge of English, both written and spoken.

Nice To Haves

Other equivalent combination of education, training, and experience may be accepted in lieu of degree
Strong understanding of lab data management, clinical terminology, data quality, and regulatory compliance.
Proficiency in Python, data validation, and electronic data transfer processes.
Excellent attention to detail, problem-solving, multitasking, and project coordination skills.
Ability to communicate effectively with cross-functional teams and external clients.

Responsibilities

Perform Python programming to support study requirements and departmental projects.
Create and review data management documentation to ensure accuracy and compliance.
Execute laboratory data management tasks including data transfers, quality checks, and file validation.
Collaborate with internal and external teams to align on timelines, deliverables, and study expectations.
Serve as a backup Data Analyst and maintain strong communication within the LDM team.
Train and mentor junior staff in data management processes and tools.
Document and archive data transmission evidence according to company policies.
Resolve customer queries promptly and professionally.