Principal Software Engineering Lead (eCOA) - Evinova

AstraZenecaGaithersburg, MD
$165,657 - $217,425Hybrid

About The Position

Evinova, a health-tech business within the AstraZeneca Group, is focused on accelerating digital health solutions in the life sciences sector to improve patient outcomes. Digital health is a strategic priority for AstraZeneca, aiming to enhance patient experience and outcomes. The Product Engineering organization comprises cross-functional squads that deliver innovative digital products globally, utilizing agile methodologies and shipping on quarterly program increments. This role is for a hands-on engineering leader who will own the technical direction and delivery of the eCOA product area, leading a multi-squad engineering organization. The role involves significant hands-on coding, architectural decision-making, team development, and technical strategy, with an emphasis on embedding AI-assisted development and AI-native engineering culture.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent demonstrated through professional experience
  • 8+ years of professional software engineering experience, with a strong track record of building and shipping production systems.
  • 3+ years leading engineering teams (squads, chapters, or similar) while remaining hands-on with code.
  • Deep proficiency in at least one of our core stacks: React/React Native (frontend), Node.js/Java (backend), AWS cloud services.
  • Demonstrated ability to make sound architectural decisions across frontend, backend, and infrastructure.
  • Practical, daily experience using AI-assisted development tools (GitHub Copilot, Claude, Cursor, or similar) in your own coding workflow.
  • Strong understanding of agile delivery frameworks (Scrum, Kanban, SAFe) applied in practice, not just theory.

Nice To Haves

  • Experience building or deploying AI/ML features in production applications, including agentic AI systems or LLM integrations.
  • Experience developing and delivering electronic Clinical Outcome Assessments (eCOA) or patient-facing clinical trial software.
  • Familiarity with GxP, SaMD validation, or regulated software development processes.
  • Experience with remote patient monitoring (RPM) solutions including patient-reported data and clinician-facing visualizations.
  • Contributions to open-source projects or a visible track record of technical thought leadership (blog posts, conference talks, published architectural decisions).
  • Clinical research domain experience.

Responsibilities

  • Regularly review pull requests, provide substantive code-level feedback, and enforce quality standards across squads.
  • Make and own architectural decisions for the eCOA platform, including API design, data models, service boundaries, and infrastructure choices.
  • Write production code, particularly for complex or foundational components where your expertise accelerates the team.
  • Pair with engineers on difficult problems and use these sessions as coaching opportunities.
  • Drive adoption of AI-assisted development tools and workflows, establishing team conventions for AI code generation, prompt engineering, and automated testing.
  • Define and enforce technical standards: testing strategy, CI/CD pipeline health, observability, and deployment practices.
  • Embed AI tools (coding assistants, agentic workflows, automated code review) into the team’s daily development process.
  • Evaluate and integrate AI capabilities into the eCOA product itself, including intelligent data capture, adaptive questionnaire logic, and patient experience personalization.
  • Champion a culture where engineers own AI-generated output with the same rigor as hand-written code: thorough review, testing, and accountability.
  • Stay current with rapid advances in AI-assisted development and translate those into practical team-level improvements.
  • Lead, mentor, and grow a multi-squad engineering organization.
  • Develop squad leads into strong technical leaders in their own right.
  • Set a high technical bar in hiring: personally conduct technical interviews and assess candidates’ ability to build, not just describe.
  • Foster a culture of continuous improvement, psychological safety, and intellectual honesty about technical debt and tradeoffs.
  • Manage performance with clear, measurable expectations rooted in engineering output and quality, not just process compliance.
  • Partner with Product Owners to translate clinical requirements into sound technical plans, ensuring feasibility, scalability, and regulatory compliance.
  • Drive execution against quarterly program increments with predictable, high-quality delivery.
  • Collaborate across the Unified Trial Solution engineering organization to ensure architectural coherence and shared platform leverage.

Benefits

  • Qualified retirement program (401(k) plan)
  • Paid vacation and holidays
  • Paid leaves
  • Health benefits including medical, prescription drug, dental, and vision coverage
  • Short-term incentive bonus opportunity
  • Eligibility to participate in our equity-based long-term incentive program
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