Bioinformatics Engineer

We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.**Senior Bioinformatics Engineer, Biomedical Knowledge Base****Position Description** QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN’s biomedical knowledge base by integrating new knowledge from public data sources. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams.**Responsibilities** Develop and maintain bioinformatics software tools and pipelines to ingest, transform, and export vast amounts of biomedical data.Collaborate with product management and application software developers to investigate new content sources and define requirements for content development projects.Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base.**Requirements** 5+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.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 (git), 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. Familiarity with common biological databases such as NCBI, UniProt, Ensembl.**What we offer**Local benefits

Hybrid work (conditional to your role) #J-18808-Ljbffr