Eln System Engineer Jobs (NOW HIRING)

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.

• 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), and 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
• Deliver disciplined, robust, and readable code
• Contribute to new software test solution architectures and design decisions
• Engage in the software lifecycle of test tools and ensure traceability between requirements, test cases, and data outputs
• Ensure all verification activities are conducted in accordance with Quality System requirements
• Apply sound technical judgment to problem solving and develop new or creative test designs, working independently with little supervision
• Input into appropriate test automation tools, applying techniques such as data‑driven testing
• Develop and write automated test scripts and plans to ensure software functions as expected
• Prepare data sets to test logic, error handling, and system workflows
• Conduct testing of various features, verify fixes, and review and provide feedback to software requirements, specifications, user manuals, or other technical publications

Education and Experience: 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.

Knowledge, Abilities: Familiarity with off‑the‑shelf test automation tools (e.g., TestComplete, Ranorex, Squish); strong written skills for documenting software and test procedures; ability to work within an agile test development environment; problem‑solving skills; ability to act independently on routine assignments or projects; organization and multitasking abilities; professional communication; attention to detail and high accuracy; teamwork capability.

Core Technical Skills:

• Programming: Python (required), SQL, APIs, React, Flask, shell scripting
• Data Platforms: Databricks, Spark, SQL warehouses (preferred)
• Cloud Platforms: Azure / AWS / GCP (storage, compute, pipelines)
• Data Formats: JSON, CSV, Parquet, structured schemas
• Test Automation & Quality Engineering: UI/API testing (existing tools such as TestComplete) plus modern frameworks; data testing (validation of pipelines, schema testing, data quality frameworks); CI/CD via GitHub / GitLab, Jenkins or modern cloud pipelines
• AI / Advanced Testing: Familiarity with AI‑assisted testing tools, prompt‑based validation, testing AI/ML outputs; understanding of data quality impact on AI systems
• Digital Lab Ecosystem Experience: ELN platforms (e.g., Benchling, LabArchives); LIMS systems; scientific instrumentation software; understanding of lab workflows and scientific data lifecycle

Competitive insurance benefits starting on day one: medical, dental, vision, life, short‑term disability, long‑term disability, pet, and legal/ID shield. 401(k) with employer matching, Employee Stock Purchase Plan, Health Savings Account, Flexible Spending Accounts, Dependent Care FSA. Paid holidays, paid time off, paid parental leave, volunteer paid time off, employee events, and charity drives.

Bio‑Techne is an E‑Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.