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.

Precision Medicine Group

Precision Medicine Group

Precision Medicine Group