Software Engineer, Consultant

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🕒 April 24

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Praxis

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2002

🧬 Biotechnology

⚕️ Healthcare Insurance

🔬 Science

Biotechnology • Healthcare Insurance • Science

Praxis is a company dedicated to connecting patients with meaningful clinical trial opportunities. With a focus on creating customized recruitment programs, Praxis utilizes a variety of specialized tools and extensive experience across various therapeutic areas to ensure they reach the right patients worldwide. Established in 2002, the company emphasizes the importance of patient engagement and utilizes sophisticated data insights to enhance the patient journey in clinical research.

📋 Description

• Design, develop, and maintain reliable, production-grade code across frontend, backend, and data layers, implementing software solutions that meet clinical, operational, and regulatory requirements • Deploy and operate services in a cloud environment (AWS preferred) and contribute to architecture and design reviews with a focus on reliability, scalability, and security • Debug and resolve production issues across distributed and asynchronous workflows; diagnose performance bottlenecks; and own incident response, including root cause analysis and durable fixes that prevent recurrence • Collaborate with QA, Clinical Operations, Clinical Development, Product, and IT stakeholders to translate requirements into validated releases • Design APIs and data models that preserve audit trails, version history, and system traceability; and improve system observability through structured logging, monitoring, and alerting • Uphold high standards for data integrity, security, and regulatory compliance across all systems

🎯 Requirements

• Bachelor’s degree in Software Engineering or equivalent practical experience • 3+ years of non-internship professional software development experience, with demonstrated ability to design, build, and operate production software systems end-to-end • Demonstrated experience using AI-assisted development tools (e.g., code generation, automated testing, debugging copilots) to improve engineering productivity and code quality, with ability to critically evaluate AI-generated outputs for correctness, security, and maintainability • Strong foundation in software engineering fundamentals: data structures and algorithms, API and interface design, relational data modeling and transactional integrity, and separation of concerns • Demonstrated ability to debug complex issues across multiple layers (client, API, database, infrastructure) and trace issues in distributed or asynchronous systems using logs, metrics, and instrumentation • Experience deploying and operating applications in a cloud environment (any major provider), including networking, access control, configuration, and monitoring; and experience designing secure systems including authentication and authorization flows • Experience implementing production-grade monitoring, alerting, and CI/CD practices; and ability to work effectively in a remote-first, high-accountability environment • The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement. You’ll need comfort with screen work, basic hand coordination, and focus. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities