Senior Software Engineer (Backend Developer)

QuartzBio Overview:

QuartzBio (www.quartz.bio) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities.

Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions.

Position Summary:

As we continue to expand our software engineering team, we are seeking a highly experienced Software Engineer. You will work with a team of software engineers to design, develop, test and maintain software applications. The successful candidate will have a strong understanding of software architecture, programming concepts and tools, and be able to work independently to solve complex technical problems.

Key Responsibilities (Shared across Roles):

• Requirement Analysis
  • Translate business requirements into clear, actionable technical documentation that guides development and testing.
  • Understand the purpose of new features and help communicate that purpose to team members.
  • Create design specifications, test plans, and unit tests for individual work scope.
  • Preemptively scan backlogs to surface important issues, apply relevant labels for triaging and tracking, and assist in prioritizing work.
  • Understand work processes and their interdependencies to ensure seamless integration.
• Development & Coding
  • Build new features or enhance existing ones based on defined specifications, ensuring scalability, maintainability, and security.
  • Evaluate existing software systems to identify areas for improvement, optimization, or refactoring.
  • Use profiling tools to identify and optimize inefficient code paths, memory usage, and system responsiveness.
  • Design and implement software systems in accordance with software development standards
  • Write clean, legible, efficient, and well-documented code.
  • Ensure timely and high-quality delivery of assigned tasks, contributing to overall project success and team velocity.
• Testing & Quality Assurance
  • Participate in software testing to identify, document, and resolve bugs and other issues.
  • Participate in code reviews and other quality assurance activities to ensure software systems are robust and performant.
  • Debug and troubleshoot complex software issues and provide timely solutions.
  • Ensure adherence to software development best practices and processes.
• Deployment & Maintenance
  • Perform ongoing maintenance to ensure software stability, reliability, and alignment with evolving business needs.
  • Create and maintain comprehensive documentation to support development, testing, and long-term maintenance.
• Collaboration & Communication
  • Collaborate with cross-functional teams to design, develop, test, and maintain software applications.
  • Collaborate with business and technical stakeholders to ensure shared understanding of requirements and implementation goals.
  • Communicate effectively with team members and stakeholders.
• Leadership & Mentorship
  • Manage projects and initiatives with moderate complexity.
  • Mentor junior team members and provide guidance.
  • Help to support the work of their peers by pair programming, reviewing code, and through mentorship.
  • Contribute to strategic planning and decision-making.
  • Contribute to hiring and retaining top engineering talent by conducting interviews, serving as an onboarding mentor and support/mentor new hires.
• Professional Development
  • Continuously improve technical skills and stay up to date with emerging technologies.

Qualifications for Data Engineering domain:

• Bachelor’s degree in Computer Science, Computer Engineering, or related field and a minimum of 5 years of relevant work experience in information technology (IT), software development/support and technology solutions.
• 2-4 years of experience working in a customer-facing role and leading projects.
• Proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
• Proficient in SQL, relational databases and relational data modeling.
• Strong foundation in Data Structures and Algorithms (DSA) with a focus on implementing efficient solutions.
• Proven expertise in R and Python backend development, including R package creation and adherence to community best practices.
• Skills in data preprocessing, cleaning, and transformation using tools like Pandas, NumPy, and SQL.
• Experience with R object-oriented programming (R6, S3).
• Strong experience with Git, version control workflows, and working in Linux environments using command-line tools.
• Familiarity with tools such as GNU Make, Docker, GitLab CI.
• Background in clinical trial data management is a plus.