Test Automation Engineering Manager, Biomedical Knowledge Base, QDI jobs in United States
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QIAGEN · 21 hours ago

Test Automation Engineering Manager, Biomedical Knowledge Base, QDI

QIAGEN is a leading provider of bioinformatics software and knowledge bases used by life scientists. As the Test Automation Engineering Manager, you will lead a team responsible for validating the scientific quality and correctness of biological content, while also contributing technically to the development of scalable methods for assessing data accuracy.

BiotechnologyHealth CareHealth DiagnosticsPrecision Medicine
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H1B Sponsor Likelynote

Responsibilities

Lead, mentor, and develop a team of 3-5 Test Automation and QA/QC engineers
Define team priorities, testing strategies, and quality goals
Partner with cross-functional stakeholders to coordinate testing coverage and represent content QA in release planning and tracking
Review and refine data and software requirements, use cases, and workflows for product features to ensure that they are scientifically valid, technically robust, and testable
Design and implement automated quality controls and improve reliability of processes, pipelines, tools, and models that support development, build, and maintenance of our biological content
Own the test automation lifecycle for specific data, product features, or tools, taking individual responsibility to specify and execute the testing approach in design, implementation, and reporting
Select or develop test automation tools and frameworks. Contribute to maintenance of existing continuous integration pipelines and infrastructure
Document testing and validation efforts according to appropriate quality management frameworks and regulations (ISO 9001, ISO 13485, IVDR)

Qualification

Test AutomationBioinformaticsPythonLinuxSoftware DevelopmentGenomicsSQLAPI TestingSeleniumTeam Leadership

Required

Undergraduate degree in bioinformatics, bioengineering, genetics, molecular biology, or a related field
Graduate degree preferred
5+ years of industry experience in bioinformatics, including experience developing test automation for production-grade bioinformatics tools and pipelines
2+ years of experience managing engineers or bioinformatics scientists
Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment
Experience with Perl and Java is a plus
Mastery of software engineering best practices such as version control (git), code review, unit and integration testing, documentation, and collaborative development
Domain knowledge of human genetics and genomics, and familiarity with tools and databases used in genomic biomedical research (e.g., NCBI, Ensembl, RefSeq, ClinVar, COSMIC, OMIM)
Practical experience with biomedical ontologies (e.g., Gene Ontology, Human Phenotype Ontology) and related semantic technologies such as RDF, OWL, and SPARQL
Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., Neo4j)

Preferred

Experience with information extraction and knowledge modeling of structured and unstructured biological data sources is preferred
Experience with API testing and browser-based test automation tools such as Selenium and WebDriver is a plus

Benefits

Bonus/Commission
Local benefits
Referral Program
Volunteer Day
Internal Academy (QIALearn)
Employee Assistance Program
Hybrid work (conditional to your role)

Company

QIAGEN provides technologies and products for preanalytical sample preparation and linked molecular assay solutions.

H1B Sponsorship

QIAGEN has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2022 (4)
2021 (3)
2020 (2)

Funding

Current Stage
Public Company
Total Funding
$754M
2025-08-28Post Ipo Debt· $750M
2022-04-04Acquired
2021-10-22Grant· $4M

Leadership Team

D
Dan Richards
VP Biomedical Informatics & Ingenuity
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Lilly Kong
Sr. Director, Assay Development
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Company data provided by crunchbase