Bioinformatics Quality Engineer, QDI

QIAGEN•Redwood City, CA

10d•$130,000 - $160,000•Hybrid

About The Position

As a Bioinformatics Quality Engineer in the Content Development team, you will play a critical role in maintaining and validating QIAGEN’s biomedical knowledge base and content delivered to QIAGEN’s analytics software. You will define and implement test plans using scalable methods to assess the correctness and completeness of our biological data and fulfillment of product requirements. You will be part of a collaborative, cross-functional team of content scientists, knowledge engineers, and software engineers building powerful tools to gain insight into biomolecular data.

Requirements

Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred.
5+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.
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).
Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control, code review, unit and integration testing, documentation, and collaborative development.
Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j).
Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL.

Responsibilities

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)