Senior Clinical Data Analyst - Evinova
WHY JOIN US?
Transform billions of patients’ lives through technology, data, and innovative ways of working. You’re disruptive, decisive, and transformative. Someone excited to use technology to improve patients’ health. We’re building a new Health-tech business – Evinova, a fully-owned subsidiary of AstraZeneca Group.
Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we’re helping. Launch pioneering digital solutions that improve the patients’ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our downtown Toronto head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
About the Opportunity:
Are you ready to lead and inspire a team of Clinical Data Analysts? We are looking for an experienced Senior Clinical Data Analyst who thrives at the intersection of data and study delivery. In this player-coach role, you will not only manage and mentor a growing team but also actively contribute to data delivery, driving strategic impact across our portfolio.
Collaborate with cross-functional teams to optimize clinical trial execution and patient outcomes, while providing valuable input to our product team on data products and tools that support our mission to deliver market-leading digital health solutions.
What You'll Do:
Lead and Mentor: Manage and develop a team of Clinical Data Analysts, fostering a culture of collaboration, empowerment, and continuous improvement.
Data Management: Drive the development, review, and sign-off of data management documentation, including Data Management Plans and Data Transfer Agreements with customer study teams.
Data Standards: Define and validate raw data standards for clinical measurements and digital endpoints (e.g., eCOA, sensor data).
Pipeline Configuration: Configure mapping files and test datasets to reflect agreed clinical data flows; validate data outputs to ensure alignment with specifications.
Troubleshooting: Collaborate with cross-functional teams to resolve data-related issues in production environments, ensuring minimal disruption to clinical operations.
Change Management: Submit and track change requests for production deployments and updates.
Stakeholder Engagement: Represent the Data Delivery function in internal and external meetings, driving data transfer requirements, timelines, and deliverables.
Communication: Communicate effectively with internal teams, Evinova study teams, and customers to ensure smooth data operations.
Continuous Improvement: Support ongoing enhancement of data delivery processes and contribute to knowledge sharing across teams.
Essential Qualifications:
Bachelor’s or Master’s degree in a relevant field (e.g., Clinical Data Management, Computer Science, Data Engineering).
Significant experience in clinical data management and digital health delivery.
Strong understanding of clinical data standards (e.g., RDS), mapping, and transformation processes.
Knowledge of regulatory standards (e.g., GxP, ICH GCP, FDA 21 CFR, GDPR).
Familiarity with tools such as AWS S3 (including error logs), JIRA, and scripting languages (e.g., TypeScript).
Proficiency with GitHub for basic operations (push, pull, merge, pull requests).
Experience working in VSCode or other coding editors.
Skilled in JSON text formatting and data mapping, including creating configuration files in JSON and TypeScript.
Experience with SAS Universal Viewer (SAS7DBAT).
Proficient in the Microsoft suite (Teams, SharePoint, Excel, and Word).
Ability to interpret and troubleshoot data pipeline configurations and test outcomes.
Excellent communication and collaboration skills across technical and clinical teams.
Comfortable working across clinical, technical, and operational teams.
SO, WHAT’S NEXT?
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.
Apply now and help us shape the future of digital health!
#LI-Hybrid
Date Posted
04-Nov-2025Closing Date
17-Nov-2025AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.
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