BioStatistician & Clinical statistician Programmer - Montréal, Canada (F / M)

BioStatistician & Clinical Statistician Programmer - Montréal, Canada (F / M)

Join to apply for the BioStatistician & Clinical Statistician Programmer - Montréal, Canada (F / M) role at ALSINOVA CRO.

Company Overview

Alsinova is seeking a Clinical Statistician Programmer in Oncology. This position is fully dedicated to a client in a hybrid model (2 days in the office if located in Montreal).

Your Mission

The clinical statistical programmer will be responsible for providing study-level statistical expertise alongside other team members. Responsibilities include developing, validating, and supporting clinical development and medical team activities through statistical programming.

Your Daily Activities

• Preparing clinical datasets for regulatory submissions.
• Writing and executing SAS programs for data analysis and reporting.
• Performing statistical analyses such as normalization, regression, and hypothesis testing on biological assay data.
• Analyzing, integrating, and reporting clinical trial data to produce quality, timely deliverables.
• Supporting clinical studies by generating derived analysis datasets, tables, listings, and figures, including quality control.
• Participating in operational meetings and addressing issues affecting programming and data management.
• Coordinating programming activities for the client.
• Developing and validating study-specific and cross-project macros.
• Performing and validating statistical analyses and compiling reports with graphical outputs.
• Reviewing standard operating procedures and defining new processes as needed.
• Hold a university degree in Sciences, Engineering, Mathematics, or a related field, with a graduate degree in Biostatistics or equivalent.
• Minimum of 2 years of experience in clinical statistical programming or similar.
• Good understanding of applied statistical principles in clinical study design and analysis.
• Experience in submission-related study support.
• Experience in statistical or trial methodology research and presentations.
• Proficient in SAS programming; knowledge of other software is an asset.
• CDISC knowledge is a plus.
• Familiar with ICH GCP guidelines and internal SOPs.
• Reactive, team-oriented, good communicator, and collaborative.
• Ability to work independently, manage multiple projects, and pay attention to detail.
• Fluent in English (written and spoken). Canadian citizenship or work permit required.

Our Benefits

• Opportunities for professional growth and diverse projects.
• Personalized support for career development.
• Continuous learning through internal training.
• Inclusive and friendly work environment, certified #TopEmployer2025.

Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Research, Analysis, IT
• Industry: Health and Human Services

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