Senior Bioinformatics QA Engineer

Description

What will you do?

Quality Assurance / Test Strategy & Execution

· Work closely with QA Team and implement QA Practices and strategies according to best practices and quality standards

· Understand and follow SDLC processes to meet quality goals at the product level

· Work as part of cross-functional scrum teams ("PODs"), developing applications using agile methodologies

· Provide guidance and mentor team members on test activities and bioinformatics testing approaches

· Collaborate with development teams to address bugs and production defects quickly

Bioinformatics Testing Expertise

· Interpret requirements to develop verification & validation test plans for bioinformatics applications

· Design test cases for sequence analysis software including alignment, variant calling, and annotation

· Design, create, and maintain bioinformatics data simulators and automated testing frameworks

· Work with product management to understand functional specifications for genomic applications

· Execute complex test scenarios and investigate issues in bioinformatics pipelines

Documentation & Process Improvement

· Create comprehensive documentation to record testing phases and provide test execution reports

· Modify/update test protocols based on requirement changes; perform impact analysis

· Stay current with new testing tools and strategies in both QA and bioinformatics domains

· Evaluate and improve testing methodologies for continuous improvement

· Work with cross-functional teams to ensure quality throughout the product development lifecycle

Requirements

What do you bring to the table?

· Master's degree in Bioinformatics, Computational Biology or related field

· 7 + years of experience as software QA, with at least 3 years in bioinformatics or genomics

· Minimum 2 years working experience as a Bioinformatician or in genomic data analysis

· Demonstrated experience with Next Generation Sequencing tools (BWA, GATK, SAMtools, Tophat)

· Strong understanding of genomic data analysis, biostatistics, and data structures

· Experience with CI/CD pipelines and version control systems (Git)

· Knowledge of software engineering practices, SQA processes, and methodologies

· Professional Competencies

· Exceptional attention to detail and problem analysis abilities

· Strong communication skills (written and verbal)

· Ability to absorb complex information and integrate it into testing methodologies

· Focus on quality and continuous improvement

· Strategic vision to anticipate testing needs for emerging technologies

· Persuasiveness in advocating for quality standards and practices

· Experience in the medical device or life sciences industry

· Knowledge of handling/processing large genomic datasets

· Experience with cloud computing platforms (AWS, Azure, GCP)

· Experience with Docker and containerized applications

Understanding of regulatory requirements for clinical software (HIPAA, FDA)

· Strong expertise in QA automation tools and frameworks (Selenium, RestAssured, Jenkins)

· Proficiency in Java and at least one scientific scripting language (Python/Java)