Senior Software Engineer

QuartzBio Overview:

QuartzBio (www.quartzbio.com) is the Precision Medicine Intelligence Company.  Our first-in-class Precision Medicine AI Agent Platform enables autonomous data ingestion and conversational insights across the precision medicine value chain. Powered by a network of domain-specific AI agents, our solutions amplify the efforts of operations, translational, informatics, and IT teams, using AI-driven integration of biomarker, sample, and clinical data to create a unified, scalable data ecosystem. R&D teams can shorten time from data to insights, analytics, and visualizations, accelerating study close and time-to-market. Transform the way precision medicine teams work with 360° intelligence. 

Position Summary:

We are seeking a highly skilled and motivated Software Engineer (Backend Development) to join our Foundational Data Pipelines Development team. This role is ideal for someone who thrives in a collaborative environment, enjoys working with complex legacy systems, and is passionate about building scalable, maintainable, and testable software solutions.

You will work closely with other engineers and stakeholders to design, develop, test, and maintain backend applications and data pipelines. You will play a critical role in translating client needs into robust software features and contribute to the development of high-quality R and Python packages.

Key Responsibilities:

• Proven expertise in R and Python backend development, including R package creation and adherence to community best practices.
• Design and implement clean, efficient, and well-documented code with a strong emphasis on robustness and testability.
• Skilled in unit testing, debugging complex software issues, and delivering timely, testable solutions.
• Strong experience with Git, version control workflows, and working in Linux environments using command-line tools.
• Navigate and debug a multi-repository codebase using command-line tools and Git.
• Proficient in SQL and relational databases.
• Contribute to the design of relational data models that reflect real-world data collection processes, particularly in clinical trial contexts.
• Analyze, maintain, and enhance existing software applications while implementing new features.
• Translate client requests into reliable and maintainable software features, with an understanding of both service and SaaS business models.
• Proactively engage with internal experts, documentation, and legacy code to refine and clarify specifications.
• Collaborate with cross-functional teams to design, develop, test, and maintain software applications.
• Create design specifications, test plans, and automated test scripts for individual work scope.
• Write and debug software systems in accordance with software development standards, including the Application Development Lifecycle.
• Ensure adherence to software development best practices and processes.
• Demonstrated ability to lead technical projects independently, including planning, execution, and delivery.
• Leads complex technical projects with minimal oversight.
• Accountable for delivering work on time and within scope, contributing to overall project success.
• Experience coordinating across teams, managing technical dependencies, and communicating project status to stakeholders.
• Strong written and verbal communication skills.
• Ability to write clear, concise, and technically complex reports and documentation.
• Demonstrated leadership in driving technical initiatives and mentoring peers.
• Serves as a technical resource and mentor within the team.
• Provides input into technical direction and process improvements.
• Demonstrated initiative in continuous learning and staying current with emerging technologies.
• Other duties as assigned.

Qualifications:

• Bachelor’s degree related field and a minimum of 8 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions.
• 4-6 years of experience working in a customer-facing role and leading projects.
• Proven expertise in R and Python backend development, including R package creation.
• Skilled in unit testing, debugging, and writing clean, testable code.
• Strong experience with Git, version control workflows, and working in Linux environments using command-line tools.
• Proficient in SQL and relational databases.
• Demonstrated ability to lead technical projects independently, including planning, execution, and delivery.
• Leads complex technical projects with minimal oversight.
• Accountable for delivering work on time and within scope, contributing to overall project success.
• Basic knowledge of project management processes and tools (e.g. project scheduling, budgeting, status reporting).
• Experience coordinating across teams, managing technical dependencies, and communicating project status to stakeholders.
• Strong written and verbal communication skills.
• Ability to write clear, concise, and technically complex reports and documentation.
• Demonstrated leadership in driving technical initiatives and mentoring peers.
• Serves as a technical resource and mentor within the team.
• Provides input into technical direction and process improvements.
• Demonstrated initiative in continuous learning and staying current with emerging technologies.
• Other duties as assigned.

Preferred Skills

• Working knowledge of SQL dialects and relational data modeling.
• Familiarity with tools such as GNU Make, Docker, GitLab CI.
• Experience with R object-oriented programming (R6, S3).
• Exposure to AWS and cloud-based development environments.
• Understanding data engineering practices and pipeline development.
• Background in clinical trial data management is a plus.

Leadership expectations:

• Follows Company's Principles and code of ethics on a day-to-day basis.
• Shows appreciation for individual talents, differences, and abilities of fellow team members.
• Listens and responds with appropriate actions.
• Supports change initiatives and continuous process improvements.
• Communicates effectively and appropriately with colleagues, supervisors and clients.