Senior SQA Engineer – Data & AI Platforms

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Pay Range:

$100,100.00 - $164,450.00 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.

ESSENTIAL FUNCTIONS:

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.

Develops and writes automated test scripts and plans to ensure that software functions as expected.

Prepares data sets to test logic, error handling and system workflows.

Conducts testing of various features. Verifies fixes.

Reviews and provides feedback to software requirements, specifications, user manuals, or other technical publications.

JOB SPECIFICATIONS:

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 necessary to document software and test procedures

Ability to work within an agile test development environment

Skills in problem solving; including the ability to identify and appropriately evaluate a course of action.

Experience executing to verification plans

Ability to act independently on routine assignments or projects.

Ability to plan, organize and multi-task to complete assignments in an efficient manner.

Ability to communicate professionally, both oral and written.

Ability to pay attention to details and perform at a high level accuracy.

Ability to work independently and with a team.

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 (TestComplete, etc.) + modern frameworks

Data Testing:

Validation of pipelines

Schema testing

Data quality frameworks

CI/CD:

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

Awareness of how poor-quality inputs can degrade AI outputs

Digital Lab Ecosystem

Experience working with:

ELN platforms (e.g., Benchling, LabArchives)

LIMS systems

Scientific instrumentation software

Understanding of:

Lab workflows

Scientific data lifecycle

Why Join Bio-Techne:

We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.

We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.

We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.

We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.

We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.

We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

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.

To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

This position requires work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status). If you require a reasonable accom