Senior Bioinformatics QA Engineer

Job 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) Show more Show less