QA/QC Engineer - Insight Global : Job Details

Job Description

Insight Global is seeking a highly skilled Lead QA/QC Engineer to support the Research Software Engineering (RSE) Core at one of our top clients. This role will lead quality assurance and quality control efforts for a team that builds and supports research software used by scientists, clinicians, and administrators across the School of Medicine.

Key Responsibilities include:

Lead QA/QC strategy and execution for research software projects

Design and implement automated and manual testing frameworks

Collaborate with developers, researchers, and IT staff to define test plans and acceptance criteria

Ensure compliance with healthcare and research data standards

Identify, document, and track bugs and performance issues

Mentor junior QA engineers and offshore team members

Contribute to continuous improvement of QA processes and tools

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC Know Your Rights Poster is available here ( .

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Skills and Requirements

2+ years of experience in software QA/QC, with at least 2 years in a lead role

Strong understanding of software testing methodologies and tools

Experience with automated testing frameworks (e.g., Selenium, PyTest, JUnit)

Excellent communication and collaboration skills

Ability to work independently and manage offshore QA efforts Experience in scientific research environments

Background in healthcare or clinical research

Experience testing non-text based AI models (e.g., image, audio, or signal processing models) null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].