Principal Software Engneering Lead Evinova

About Evinova:

Are you ready to be part of the future of healthcare Can you think big be bold and harness the power of digital and AI to tackle longstanding life sciences challenges Then Evinova a health tech business within the AstraZeneca Group might be for you.

We are building software that transforms clinical trials for billions of patients worldwide. Evinova delivers market-leading digital health solutions that are science-based evidence-led and committed to human experience. We combine deep scientific expertise with modern software engineering and artificial intelligence to create new standards across the sector.

About Our Engineering Organization:

Our Product Engineering organization consists of multi-functional squads with the people and skills needed to deliver innovative digital products to patients and healthcare providers in clinical trials worldwide. We ship on quarterly program increments using agile methodologies.

We are proud to have one of the strongest software development teams in the health tech space with deep technical and domain expertise. This is a place where you can build meaningful products solve complex problems and grow alongside engineers who care deeply about their craft and its impact.

This is not a traditional management role. We are seeking a hands-on engineering leader who actively writes and reviews code makes architectural decisions and leads by building alongside their team.

You will own the technical direction and delivery of the Clinical Trial Site and Investigator product areas within Unified Trial Solution while leading a multi-squad engineering organization. You will spend a significant portion of your time in the codebase reviewing pull requests partnering with engineers on complex challenges evaluating AI-assisted development workflows and ensuring scalable architecture. The remainder of your time will be focused on team development cross-functional collaboration and technical strategy.

We are looking for someone who can serve as the strongest technical voice within their product area and provide clear technical leadership across architecture delivery and engineering excellence.

Hands-On Technical Leadership (50% of Time):

• Review pull requests provide code-level feedback and enforce engineering quality standards.
• Own architectural decisions across APIs data models service boundaries and infrastructure.
• Write production-ready code for complex and foundational platform components.
• Partner with engineers to solve challenging technical problems while coaching and mentoring.
• Drive adoption of AI-assisted development tools workflows and best practices.
• Define and maintain standards for testing CI/CD observability and deployment practices.
• AI-Native Engineering Culture
• Integrate AI tools into daily software development workflows.
• Evaluate and implement AI capabilities across Clinical Trial Site and Investigator products.
• Ensure AI-generated code is reviewed tested and held to the same quality standards as human-written code.
• Stay current with advancements in AI-assisted development and translate them into practical team improvements.

Team Leadership and Development

• Lead mentor and develop a multi-squad engineering organization.
• Build technical leadership capability within squad leads and senior engineers.
• Conduct technical interviews and assess candidates engineering capabilities.
• Foster a culture of continuous improvement psychological safety and accountability.
• Manage performance through clear expectations focused on quality impact and delivery.

Product and Delivery Leadership:

• Partner closely with Product Owners Product Managers Design Clinical Operations and other stakeholders.
• Translate clinical and business needs into scalable technical solutions.
• Provide technical insight on prioritization architecture risk and long-term maintainability.
• Influence product direction through data experimentation clinical understanding and engineering expertise.
• Drive predictable high-quality delivery against quarterly objectives.
• Collaborate across the Unified Trial Solution organization to ensure architectural consistency and platform reuse.

Minimum Qualifications

• 8 years of professional software engineering experience with a proven record of delivering production systems.
• 3 years of experience leading engineering teams while remaining hands-on with software development.

Deep expertise in at least one of the following technology stacks:

• React / React Native
• Java
• AWS Cloud Services
• Strong architectural leadership across frontend backend and infrastructure components.
• Practical experience using AI-assisted development tools such as GitHub Copilot Claude Cursor or similar technologies.
• Strong understanding of Agile delivery methodologies including Scrum Kanban or SAFe.
• Bachelors or Masters degree in Computer Science Engineering or equivalent experience.

Preferred Qualifications

• Experience delivering AI/ML capabilities in production environments including LLM-powered or agentic AI solutions.
• Experience building software for healthcare professionals clinical researchers clinical trial operations or site-facing applications.
• Familiarity with regulated software development environments including GxP and SaMD.
• Experience with remote patient monitoring solutions and clinician-facing data visualizations.
• Contributions to open-source projects or demonstrated technical thought leadership.
• Clinical research industry experience.

What This Role Is Not

• A people-management role disconnected from software development.
• A project management role focused on timelines and coordination.
• A superficial AI adoption initiative. We seek someone who has meaningfully integrated AI into their development practices and can lead others to do the same.

Why Evinova

Evinova draws upon AstraZenecas extensive experience in developing innovative therapeutics informed by insights from patients and clinical researchers worldwide. Together we are accelerating the delivery of life-changing medicines and transforming clinical trial experiences through digital innovation.

We operate with a hybrid working model and expect employees to work from the office a minimum of three days per week fostering collaboration innovation and connection while maintaining flexibility.

Join us as we build a new kind of health technology business and redefine what is possible for patients healthcare professionals and the life sciences industry.

Date Posted

Closing Date

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 authorization and employment eligibility verification requirements.