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A leading clinical trial solutions partner is seeking a Software Engineer to advance clinical research through cutting-edge technology integration. This full-stack role requires expertise in AI and ML systems, with responsibilities encompassing technical strategy and architecture, data infrastructure leadership, and cross-functional influence. Ideal candidates will have 8+ years of software development experience and significant leadership exposure. Join a dynamic environment where your contributions can directly impact human health.
Sitero is a next-generation clinical trial solutions partner, working with more than 200 Pharmaceutical, Biotech, and Institutional Research Organizations globally. We use technology to drive safety, compliance, quality, and efficiency in research and clinical trials, so customers can bring life-changing treatments to market safer and faster.
As a technology and service-oriented partner, Sitero focuses on forging strong relationships that can drive efficiency by leveraging next-generation software. The company’s continued innovation is driven by its core mission: To advance clinical research with a next-generation, technology-enabled delivery model.
Job Title: Software Engineer
Location: Ontario, Canada (Mississauga area preferred)
Function: AI Engineering
At Sitero, you will work on projects that have a direct impact on human health. We offer a fast-paced environment where you can switch teams and projects as our business grows. We are an equal opportunity workplace committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
We are looking for to drive technical strategy and architecture across our clinical trial platforms. This is a high-impact, full-stack role where you will not only design and deploy large-scale software solutions but also integrate next-generation AI technologies into the core of our products.
You will act as a force multiplier within the engineering organization - bridging the gap between distributed systems, user interfaces, and AI infrastructure. You will champion the use of AI not just as a product feature, but as a fundamental tool to augment our software engineering practices, accelerating how we code, test, and ship software.