Senior SQA Engineer – Data & AI Platforms

POSITION SUMMARY

Software quality is a critical component of R&D Systems’s transformation toward a digital laboratory and AI-driven data platform. This role designs and implements advanced test automation solutions across instrument software, data pipelines, analytics platforms, and AI-enabled applications.

The Sr. Test Automation Engineer will work across modern lab ecosystems including instrument software, ELN platforms, LIMS systems, cloud data platforms (e.g., Databricks), and AI/analytics applications to ensure data integrity, traceability, and system reliability.

This role partners with software, data engineering, IT, and scientific teams to validate end-to-end workflows spanning instrument → data pipelines → cloud analytics → AI/ML use cases, ensuring compliance with Quality System and regulatory requirements.

We're rethinking protein tools and helping thousands of researchers around the world resolve their protein analysis problems so they can reveal new insight into proteins and their role in disease. Software is vital to our success in developing award-winning bio-tech instruments for the life sciences industry. Our product development team is making products that are drastically changing how scientists and researchers use tools to become more productive.

Use your strong knowledge of test automation to expand the reliability of our instrument systems. You will collaborate with other software engineers and scientists in the development of analytical applications, working on design of graphical data presentations, algorithms, device communications, and complex data workflows. We are offering an opportunity to work with state-of-the-art software/hardware technologies amongst a very creative, motivated, and talented team.

• Design and implement AI-assisted test generation and validation (e.g., leveraging LLMs for test case creation, coverage analysis)
• Validate AI/ML outputs, including analytics dashboards, predictions, and query-based insights
• Develop data validation frameworks to ensure correctness of AI-ready datasets (FAIR principles, schema validation)
• Develop automated validation for data pipelines (ETL/ELT) including ingestion, transformation, and storage
• Validate structured data across systems such as Databricks, cloud data lakes, ELNs, and LIMS
• Implement automated checks for:
  Data completeness, Schema consistency (JSON/CSV outputs), transformation correctness
• Design test strategies for end-to-end lab workflows:
  Instrument software → export (CSV/JSON), Data ingestion into analytics platforms, Integration with ELN/LIMS systems
• Validate interoperability across systems (instrument, cloud, ELN, LIMS)
• Integrate test automation into cloud-based CI/CD pipelines
• Collaborate with the team to maintain and update test domain systems, including rack systems, instruments, and network infrastructure
• Implement test orchestration for distributed systems
• Disciplined and detail-oriented; deliver robust, readable code
• Key contributor to new software test solution architectures and design decisions
• Engage in the software lifecycle of test tools
• Ensure traceability between:
  Requirements, Test cases, Data outputs
• Ensure that all verification activities are conducted in accordance with Quality System requirements
• Determination and sound technical judgment in problem solving, analytical techniques, develops new/creative test designs, and can work independently with little supervision
• Input into appropriate test automation tools, applying the techniques in test automation; e.g., data-driven testing.
• Develop and write automated test scripts and plans to ensure that software functions as expected.
• Prepare data sets to test logic, error handling and system workflows.
• Conduct tests of various features. Verify fixes.
• Review and provide feedback to software requirements, specifications, user manuals, or other technical publications.

Position requires a Bachelor’s degree in Computer Science or equivalent with a minimum of 6+ years test automation experience or relevant experience and training.

• Familiarity with off-the-shelf test automation tools (e.g.…