Junior Statistical Programmer Analyst – Permanent Role

This is a fully remote position, open to applicants in Canada.

📋 Description

• Assist in the development and validation of datasets, tables, figures, and listings for clinical trials.

• Execute programming tasks using SAS and/or R under suitable guidance and oversight.

• Help process and integrate data from various internal and external sources.

• Provide support for ad hoc analyses and programming tasks related to clinical development and other Research & Development functions.

• Aid in the creation, review, and upkeep of programming specifications and documentation.

• Contribute to the formulation and evaluation of SDTM and ADaM datasets and their specifications.

• Assist in preparing and reviewing Define-XML and other documentation related to clinical trials.

• Collaborate closely with Senior Statistical Programmers, Biostatisticians, Data Managers, and other members of cross-functional teams.

• Support the programming and validation of datasets and deliverables compliant with CDISC standards for regulatory submissions.

• Help prepare documentation necessary for electronic submissions.

• Ensure that programming outputs adhere to relevant standards, specifications, and quality requirements.

• Conduct programming validation and quality checks in line with established procedures.

• Identify, document, and resolve programming issues in partnership with senior team members.

• Ensure that assigned deliverables are completed accurately and within the specified timelines.

• Adhere to departmental programming standards, working instructions, and relevant industry guidelines.

• Acquire knowledge of CDISC standards, including SDTM and ADaM.

• Assist in the maintenance and enhancement of programming macros, utilities, and reusable functions.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Life Sciences, or a related field.

• 0–2 years of experience in statistical programming, preferably in the pharmaceutical, biotechnology, CRO, or clinical research sectors.

• Basic to intermediate proficiency in SAS and/or R.

• Familiarity with SAS programming and the SAS Macro language is desirable.

• Basic knowledge of clinical trial data and the drug development process.

• Preferred familiarity with CDISC standards, SDTM, and ADaM.

• Advantageous to have familiarity with clinical trial datasets, tables, figures, and listings.

• Strong attention to detail and a commitment to data quality.

• Ability to work efficiently in a team setting and learn from senior colleagues.

• Capability to manage assigned tasks and meet project deadlines.

🏝️ Benefits

• Equal opportunity employer

• Inclusive, barrier-free recruitment and selection processes

• Accommodation for qualified applicants under the Human Rights Code and Accessibility for Ontarians Disabilities Act