Data Manager, Clinical (contract)

Roche•Mississauga, ON

About The Position

At Roche, we foster a culture where individuals can express themselves authentically, are embraced for their unique qualities, and where personal expression, open dialogue, and genuine connections are encouraged. This environment allows employees to thrive both personally and professionally, contributing to our mission to prevent, stop, and cure diseases and ensure universal access to healthcare. The Data Manager (DM) is a temporary, two-year contract role crucial for maintaining the quality, integrity, and availability of clinical trial data to inform decision-making in drug development. The DM collaborates with Biostatistics, Analytical Data Science, and other cross-functional teams to lead the design, implementation, and oversight of data management activities for studies. Key responsibilities include database setup, data cleaning, query resolution, and vendor management, with a strong focus on regulatory compliance, efficiency, and data readiness for analysis. This role demands both technical expertise and collaborative leadership to proactively address challenges, enhance processes, and ensure high-quality data delivery across the clinical portfolio.

Requirements

Bachelor’s (or Master’s) degree in computer science, life sciences, statistics, informatics, or a related field.
Minimum of 3-5 years of experience in clinical data management or a related function, or an advanced degree with 2+ years of equivalent work experience.
Foundational understanding of clinical trial data and the drug development process.
Familiarity with clinical data systems (e.g., EDC), Excel, and basic query logic.
Strong attention to detail and organizational skills.
Critical thinking and a willingness to learn.
Effective communication skills, with the ability to work collaboratively in team settings.

Nice To Haves

Internship or academic experience in clinical trials, data science, or informatics.
Exposure to CDISC standards (e.g., SDTM) or basic programming (SAS, R).
Understanding of different data types (labs, eCOA, imaging).
Growth mindset with curiosity about how data drives drug development.
Familiarity with common clinical data tools or platforms (e.g., Medidata RAVE).

Responsibilities

Support data management activities on clinical studies by generating and interpreting metrics related to CRF review, data entry check review, and query management under supervision.
Apply foundational knowledge of clinical data systems and standards (e.g., CDISC) to ensure consistency and accuracy in data collection.
Follow established procedures and use judgment to resolve routine data issues with moderate guidance.
Understand study protocols, data flows, and team objectives to contribute effectively to assigned tasks.
Communicate data issues clearly to internal team members and external vendors in straightforward situations.
Share learnings and emerging best practices with peers to support team development.
Apply independent judgment to solve moderately complex data issues, interpret guidance, prioritize responsibilities, and seek guidance in situations that require contextual understanding.
Adhere to functional standards, participating in peer review or mentoring relationships to uphold quality while building expertise in data management methodology.